247 Results for Ai Engineer Jobs in Yardi

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Sr. Software Engineer

Exton, PA
onsite
Permanent / Full Time
160000.00 - 180000.00 USD / Yearly
We are looking for a Sr. Software Engineer to help shape and advance AI-driven software modernization efforts in Exton, Pennsylvania. This role will guide engineering teams on applied AI practices, improve code conversion quality across varied product environments, and contribute to standards that support scalable adoption throughout the organization. The position is well suited for someone who enjoys complex technical analysis, modern automation, and working across a broad mix of legacy and contemporary technologies with a global team. Responsibilities: • Assess complex code conversion outcomes, identify areas where automated results need refinement, and make targeted adjustments when necessary to preserve functionality and accuracy. • Improve AI-based modernization workflows by defining effective coding patterns, highlighting risky translation scenarios, and strengthening output quality over time. • Investigate difficult translation issues by comparing behavior across languages, compilers, runtime environments, and platforms to resolve defects or precision gaps. • Build internal utilities, scripts, and automation that increase efficiency, consistency, and visibility across code modernization initiatives. • Design comprehensive validation strategies and resilient test coverage to confirm that transformed code performs correctly and meets expected standards. • Evaluate emerging AI tools and methods on an ongoing basis, recommending enhancements that keep modernization practices effective and current. • Determine practical boundaries of different technologies and approaches so teams can make informed implementation decisions. • Support broader engineering adoption by mentoring developers, sharing technical guidance, and creating learning materials around AI-assisted development practices.
2026-11-03T14:38:45Z

Conversation Designer (Contract)

Atlanta, GA
remote
Temporary / Contract
- USD / Hourly
Job Title: Conversation Designer (Contract)Locations (Hybrid): Atlanta, GA | Nashville, TN (Must reside near and be able to work 1 day/week in-office in either Atlanta or Nashville)Duration: 4–6 Week Project (Potential for extension based on project scope and needs)Weekly Hours: 30 Hours / Week to startEmployment Type: Contract / Freelance About the RoleWe are seeking a talented, detail-oriented Conversation Designer to join our team for a 4 to 6-week project sprint with potential for extension. In this role, you will be responsible for crafting natural, engaging, and efficient conversational flows for AI-driven assistants, chatbots, and interactive voice/text experiences. Working closely with product managers, UX designers, and AI engineers, you will bridge human language with technical systems—turning complex user intents into clear, helpful, and brand-aligned dialogue flows. Key Responsibilities<ul><li>Conversational Flow & Dialogue Design: Craft end-to-end conversation flows, turn-by-turn dialogues, user journeys, and fallback scenarios for AI chatbots, virtual assistants, or interactive voice systems.</li><li>Intent Mapping & System Logic: Collaborate with engineering teams to define user intents, entities, sample utterances, prompt logic, and repair strategies to handle ambiguous or out-of-scope inputs gracefully.</li><li>Persona & Voice Guidelines: Develop and maintain consistent voice, tone, and personality guidelines across all conversational touchpoints to reflect brand identity.</li><li>Prototyping & Testing: Build sample scripts, interactive prototypes, and wireframes to simulate conversation flows and conduct user testing/review sessions.</li><li>Optimization & Analysis: Review conversation logs, analytics, and drop-off points during project sprints to rapidly iterate and improve response accuracy and resolution rates.</li></ul>
2026-11-02T19:04:17Z

AI / Machine Learning Engineer

Des Moines, IA
onsite
Permanent / Full Time
80000.00 - 100000.00 USD / Yearly
Position: AI / Machine Learning Engineer - Direct Hire Permanent Opportunity Location: Hybrid - Des Moines, IA Salary: $80,000 - 100,000 base annual salary plus exceptional benefits *** For immediate and confidential consideration, please APPLY and EMAIL YOUR RESUME to MEREDITH CARLE . My email can be found on my LinkedIn page. *** AI / Machine Learning Engineer Are you passionate about applying machine learning and advanced analytics to solve real-world business challenges? We're partnering with an established and growing technology consulting organization seeking an AI / Machine Learning Engineer to help expand its AI, predictive analytics, and data science capabilities. In this highly visible role, you'll work directly with business leaders and analysts to develop machine learning models, improve anomaly detection, build forecasting solutions, and influence the future direction of the company's AI initiatives. What You'll Do • Develop and improve machine learning and predictive analytics models • Analyze complex data using Python and SQL • Support anomaly detection, forecasting, and advanced analytics initiatives • Evaluate model performance and recommend improvements • Collaborate with analysts, stakeholders, and leadership to solve business problems • Help shape AI/ML tools, methodologies, and best practices What We're Looking For • 1-3+ years of AI, Machine Learning, Data Science, or Advanced Analytics experience • Strong Python skills with libraries such as Pandas, NumPy, and Scikit-Learn • Experience with statistical modeling, predictive analytics, and machine learning • Strong SQL and data analysis skills • Ability to explain technical concepts to both technical and non-technical audiences • Collaborative, self-directed, and entrepreneurial mindset Why Join? • Make a visible impact in a growing AI/ML practice • Work directly with decision-makers and leadership • Collaborative, team-oriented culture with exceptional employee tenure • Hybrid work environment • Opportunity to influence strategy, architecture, and future AI initiatives • Competitive compensation and benefits This is an excellent opportunity for someone who enjoys combining technical depth, business impact, and hands-on problem solving in a flexible, entrepreneurial environment. *** For immediate and confidential consideration, please APPLY and EMAIL YOUR RESUME to MEREDITH CARLE . My email can be found on my LinkedIn page. Also, you may contact me at 515-303-4654. Or one click apply on our Robert Half website. No third party inquiries please. Our client cannot provide sponsorship and cannot hire C2C. ***
2026-10-14T19:04:00Z

Data Engineer

Oskaloosa, IA
onsite
Permanent / Full Time
- USD / Yearly
Position: Data Engineer Location: Oskaloosa, IA / Des Moines, IA -- Onsite Salary: $100,000 - $120,000 base + exceptional benefits *** For immediate and confidential consideration, please APPLY and EMAIL YOUR RESUME to MEREDITH CARLE . My email can be found on my LinkedIn page. *** Data Engineer Shape the Future of Enterprise Analytics, AI & Data Innovation Are you the type of data professional who sees a business problem and immediately starts thinking about how to model, engineer, and deliver the right solution? A highly successful, technology-driven organization is seeking a Data Engineer to help build the foundation for enterprise analytics, business intelligence, governance, and next-generation AI initiatives. This is an opportunity to make a visible impact across the business while working alongside a collaborative team of data professionals who are passionate about solving complex challenges. This role is ideal for someone who enjoys being hands-on, partnering with the business, and building modern data solutions that drive meaningful outcomes. What You'll Do • Design and develop scalable data models, semantic layers, and enterprise data solutions • Build trusted data structures that support analytics, reporting, AI, and business intelligence initiatives • Develop and optimize cloud-based data pipelines and integrations • Improve data governance, lineage, metadata management, and observability practices • Create automated data quality and validation frameworks • Implement CI/CD processes and modern DataOps best practices • Optimize SQL performance across warehouses, lakehouses, and reporting environments • Partner with analysts and business stakeholders to transform complex problems into actionable solutions • Contribute to technical standards, mentoring, documentation, and architectural best practices What We're Looking For Core Qualifications • Strong experience with data modeling and semantic modeling • Hands-on experience with Microsoft Fabric, Azure, and Power BI • Advanced SQL development and performance optimization skills • Experience with Git, CI/CD, and modern data engineering practices • Ability to translate business requirements into scalable technical solutions • Experience developing enterprise data pipelines and analytics platforms • A plus if you have data governance, data warehouse, data lake and or DBT experience. *** For immediate and confidential consideration, please APPLY and EMAIL YOUR RESUME to MEREDITH CARLE . My email can be found on my LinkedIn page. Also, you may contact me at 515-303-4654. Or one click apply on our Robert Half website. No third party inquiries please. Our client cannot provide sponsorship and cannot hire C2C. ***
2026-10-13T13:58:43Z

AI Experience Designer (Contract)

Atlanta, GA
remote
Temporary / Contract
- USD / Hourly
Locations (Hybrid): Atlanta, GA | Nashville, TN (Must reside near and be able to work hybrid out of one of these regional hub locations)Duration: 6-Month Contract (Potential to extend based on performance and project scope)Work Schedule: Full-Time (40 Hours / Week)Employment Type: Contract About the RoleWe are seeking an innovative, forward-thinking AI Experience Designer to join our design team for a 6-month contract engagement with potential for extension. In this role, you will define and design user-centered experiences powered by artificial intelligence, generative models, and intelligent automation.Positioned at the intersection of UX design, product strategy, and conversational AI, you will craft intuitive interaction models, agentic workflows, and UI patterns that make complex AI interactions feel seamless, transparent, and delight-driven for our users. Key Responsibilities<ul><li>AI Experience & Interaction Design: Map end-to-end user journeys for AI-powered features, establishing novel interaction patterns for conversational interfaces, copilot experiences, predictive workflows, and generative outputs.</li><li>Prototyping & Workflow Design: Create low-to-high fidelity wireframes, user flows, interactive prototypes, and system logic diagrams in Figma to demonstrate dynamic AI behaviors and state changes.</li><li>Human-AI Interface Guidelines: Help build and maintain design system guidelines specifically for AI components, including prompt interfaces, feedback loops, confidence indicators, and error-handling states.</li><li>Cross-Functional Collaboration: Partner closely with AI/ML engineers, product managers, content strategists, and research teams to translate technical capabilities into clear, ethical, and accessible user interfaces.</li><li>User Testing & Iteration: Design and run usability evaluations to test prompt clarity, AI output comprehension, user trust, and friction points, rapidly iterating based on qualitative and quantitative feedback.</li></ul>
2026-11-02T18:43:39Z

Data Engineer

Little Rock, AR
remote
Temporary / Contract
100000.00 - 120000.00 USD / Yearly
Data Pipeline Development & Integration<ul><li>Design, build, and maintain scalable ETL/ELT pipelines to extract, transform, and load data from multiple sources.</li><li>Develop automated data integration solutions supporting enterprise applications, analytics, and reporting.</li><li>Integrate structured and semi-structured data from APIs, relational databases, cloud platforms, and third-party systems.</li><li>Develop batch and real-time data processing solutions.</li><li>Troubleshoot pipeline failures, data inconsistencies, and performance bottlenecks.</li></ul>Data Warehousing & Architecture<ul><li>Design and optimize enterprise data warehouses, data lakes, and lakehouse architectures.</li><li>Develop efficient data models, schemas, and transformations to support business intelligence and analytics.</li><li>Build and maintain cloud-based data solutions using AWS, Microsoft Azure, or Google Cloud.</li><li>Optimize SQL queries, database performance, and data processing workloads.</li><li>Implement data partitioning, indexing, and storage optimization strategies.</li></ul>Data Quality & Governance<ul><li>Develop automated data validation, monitoring, and quality assurance processes.</li><li>Ensure data accuracy, consistency, reliability, and availability across enterprise systems.</li><li>Implement data governance standards, access controls, and security best practices.</li><li>Maintain documentation for data pipelines, architecture, and transformation logic.</li><li>Support compliance with organizational data privacy and security requirements.</li></ul>Cloud Engineering & Automation<ul><li>Develop and maintain cloud-native data pipelines and processing workflows.</li><li>Utilize orchestration tools such as Apache Airflow, Azure Data Factory, or similar technologies.</li><li>Implement CI/CD practices for data engineering workflows.</li><li>Automate data processing, monitoring, and infrastructure deployment.</li><li>Collaborate with DevOps and infrastructure teams to improve scalability and reliability.</li></ul>Analytics & AI Support<ul><li>Partner with business intelligence and analytics teams to deliver reliable datasets for reporting and dashboards.</li><li>Develop curated data models supporting Power BI, Tableau, and other visualization platforms.</li><li>Build data pipelines supporting machine learning, predictive analytics, and AI applications.</li><li>Collaborate with AI engineers and data scientists to prepare, transform, and deliver data for model development and production applications.</li><li>Identify opportunities to improve business processes through better data integration and automation.</li></ul>
2026-11-03T15:28:46Z

Data Engineer

Memphis, TN
remote
Permanent / Full Time
120000.00 - 130000.00 USD / Yearly
Data Pipeline Development & Integration<ul><li>Design, build, and maintain scalable ETL/ELT pipelines to extract, transform, and load data from multiple sources.</li><li>Develop automated data integration solutions supporting enterprise applications, analytics, and reporting.</li><li>Integrate structured and semi-structured data from APIs, relational databases, cloud platforms, and third-party systems.</li><li>Develop batch and real-time data processing solutions.</li><li>Troubleshoot pipeline failures, data inconsistencies, and performance bottlenecks.</li></ul>Data Warehousing & Architecture<ul><li>Design and optimize enterprise data warehouses, data lakes, and lakehouse architectures.</li><li>Develop efficient data models, schemas, and transformations to support business intelligence and analytics.</li><li>Build and maintain cloud-based data solutions using AWS, Microsoft Azure, or Google Cloud.</li><li>Optimize SQL queries, database performance, and data processing workloads.</li><li>Implement data partitioning, indexing, and storage optimization strategies.</li></ul>Data Quality & Governance<ul><li>Develop automated data validation, monitoring, and quality assurance processes.</li><li>Ensure data accuracy, consistency, reliability, and availability across enterprise systems.</li><li>Implement data governance standards, access controls, and security best practices.</li><li>Maintain documentation for data pipelines, architecture, and transformation logic.</li><li>Support compliance with organizational data privacy and security requirements.</li></ul>Cloud Engineering & Automation<ul><li>Develop and maintain cloud-native data pipelines and processing workflows.</li><li>Utilize orchestration tools such as Apache Airflow, Azure Data Factory, or similar technologies.</li><li>Implement CI/CD practices for data engineering workflows.</li><li>Automate data processing, monitoring, and infrastructure deployment.</li><li>Collaborate with DevOps and infrastructure teams to improve scalability and reliability.</li></ul>Analytics & AI Support<ul><li>Partner with business intelligence and analytics teams to deliver reliable datasets for reporting and dashboards.</li><li>Develop curated data models supporting Power BI, Tableau, and other visualization platforms.</li><li>Build data pipelines supporting machine learning, predictive analytics, and AI applications.</li><li>Collaborate with AI engineers and data scientists to prepare, transform, and deliver data for model development and production applications.</li><li>Identify opportunities to improve business processes through better data integration and automation.</li></ul>
2026-11-03T15:38:40Z

Staff Software Engineer, AI

Minneapolis, MN
onsite
Permanent / Full Time
175000.00 - 250000.00 USD / Yearly
We are looking for a Staff Software Engineer, AI to help build the core platform that powers enterprise-grade intelligent agents in Minneapolis, Minnesota. In this role, you will tackle complex technical challenges across distributed systems, applied artificial intelligence, security, and platform engineering while creating reliable capabilities for demanding business use cases. You will work closely with product, engineering, machine learning, and security teams to guide architectural decisions and deliver scalable agent-driven solutions. Responsibilities: • Drive the technical direction of the agent platform, shaping how agents plan tasks, make decisions, manage execution flow, and produce structured outcomes in production environments. • Develop multi-layered memory capabilities that support short-term context, historical interactions, knowledge retrieval, and persistent workflow state while enforcing retention and access policies. • Build secure execution frameworks for agent operations using isolated containerized environments with strong controls for resources, network access, credentials, and tenant separation. • Create dependable orchestration patterns that enable asynchronous processing, delegated work, checkpointing, restartability, retry logic, and recovery from operational failures. • Implement extensible integrations with internal and external tools, ensuring strong authentication, authorization boundaries, and protections against unsafe or manipulated actions. • Establish evaluation frameworks and observability practices to assess quality, reliability, latency, correctness, and cost, then use findings to improve agent performance over time. • Partner with cross-functional stakeholders to translate high-impact business workflows into scalable AI agent capabilities that support complex enterprise needs.
2026-11-02T22:03:49Z

Enterprise Solutions Engineer

Greenwood Village, CO
onsite
Temporary / Contract
50.35 - 58.30 USD / Hourly
We are looking for an Enterprise Solutions Engineer to help strengthen and advance enterprise collaboration and AI platforms in Houston TX. This Long-term Contract position focuses on administering, securing, and improving Microsoft 365 and supported AI environments so they remain reliable, compliant, and scalable. The role works across platform governance, operational support, and AI enablement while partnering with stakeholders to drive adoption and manage complex escalations. Responsibilities:• Strengthen governance standards and operational controls across Microsoft 365 and enterprise AI platforms to support secure, consistent usage.• Design and refine workflows using AvePoint and native Microsoft capabilities to improve oversight, automation, and lifecycle management.• Administer and enhance Microsoft Purview capabilities, including retention policies, sensitivity labeling, insider risk controls, and broader data governance practices.• Deliver advanced support for escalated issues involving SharePoint, Teams, OneDrive, Entra ID, Purview, Power Platform, AvePoint, and approved AI solutions.• Manage AI platform administration activities such as configuration, access governance, usage controls, and issue resolution.• Evaluate platform health and workspace quality, then implement improvements that reduce unnecessary sprawl and improve user experience.• Coordinate communication and rollout efforts for new platform features, governance updates, and AI-related capabilities across distributed teams.• Partner with regional and global stakeholders to address governance exceptions, access concerns, and consistency in platform practices.• Create and monitor dashboards and reports that measure adoption, usage trends, governance performance, risk indicators, and AI activity.• Provide leadership with clear analysis and practical recommendations based on operational data and governance insights.
2026-11-03T22:23:47Z

Applied AI Training Engineer

San Francisco, CA
onsite
Temporary / Contract
95.00 - 110.00 USD / Hourly
We are looking for an Applied AI Training Engineer to join a Contract opportunity in San Francisco, California. This role focuses on shaping high-quality data and evaluation assets that strengthen how large language models learn specialized enterprise software concepts, workflows, and decision patterns. The ideal candidate will combine AI training expertise, strong technical judgment, and close collaboration with subject matter experts to improve model accuracy, consistency, and real-world usefulness across complex business scenarios. Responsibilities: • Develop structured training examples that help large language models learn enterprise software behaviors, terminology, and task flows with precision. • Collaborate with subject matter experts to convert product knowledge, process logic, and business context into usable datasets for model training. • Define data design approaches that expand domain coverage and support reliable model performance across a wide range of user scenarios. • Build, organize, and enhance large-scale datasets, including generating synthetic examples when they add value to model learning. • Review model responses, investigate failure patterns, and adjust training content to close knowledge gaps and improve output quality. • Establish reusable frameworks, taxonomies, and teaching methods for introducing new concepts, schemas, and specialized domains to AI systems. • Create benchmark datasets and evaluation methods to measure reasoning quality, factual accuracy, coverage, and generalization. • Implement quality controls that detect inconsistency, ambiguity, imbalance, and missing information within training data collections. • Write and maintain Python-based tools to create, transform, validate, and manage training data efficiently at scale. • Refine model behavior to better align responses with customer expectations, domain expertise, and intended software functionality.
2026-10-30T22:48:43Z

Data Platform Engineer

Cleveland, OH
onsite
Permanent / Full Time
75000.00 - 90000.00 USD / Yearly
One of Robert Half's clients is looking for a curious, resourceful Data Platform Engineer to help us strengthen the foundation behind our data. This is a hands-on, growth-oriented role for someone who enjoys investigating how systems work, solving practical problems, and learning new technologies. You will help build and maintain data pipelines, improve the reliability and accessibility of our data, and contribute to an assessment of our current data architecture. You will have the opportunity to work across several areas of data engineering rather than being limited to one narrow specialty. This may include data integration, pipeline development, data modeling, quality monitoring, documentation, reporting support, and architecture discovery. We are more interested in how you approach problems than whether you have already used every technology in our environment. The right person is dependable, asks thoughtful questions, follows work through to completion, and knows how to use modern AI development tools responsibly and effectively. Essential Functions Build, maintain, and improve pipelines that move data between operational systems, databases, warehouses, and reporting tools. Help document our existing data environment, including data sources, integrations, transformations, storage, reporting dependencies, and access controls. Support an audit of the current data architecture by investigating how systems connect and identifying potential reliability, scalability, data-quality, security, or maintainability concerns. Work with more experienced team members and business stakeholders to evaluate and prioritize improvements. Develop and maintain reusable data models for reporting, analytics, and operational use. Add testing, monitoring, alerting, logging, and documentation to important data workflows. Investigate failed jobs, inconsistent metrics, and other data issues through structured root-cause analysis. Write readable, maintainable code using source control, code review, automated testing, and repeatable deployment practices. Translate business needs into practical technical solutions with guidance from internal stakeholders. Use AI-assisted development tools to accelerate research, coding, testing, documentation, and troubleshooting. Review and validate AI-generated work rather than accepting it without verification. Learn unfamiliar systems and technologies as needed and share what you discover with the team. Knowledge, Skills & Abilities Strong foundational SQL skills and experience working with relational data. Working knowledge of Python, R, or another language used for data processing and automation. Some experience building, modifying, or supporting ETL/ELT pipelines. Familiarity with databases, data warehouses, APIs, scheduled jobs, or cloud-based data services. Basic experience with Git and modern software-development practices. An ability to investigate unfamiliar problems, test assumptions, and communicate findings clearly. A dependable approach to execution, documentation, and follow-through. Genuine curiosity and a willingness to learn technologies outside your current experience. Practical experience using AI coding assistants or language models as part of a development workflow. Good judgment about validating AI-generated code and protecting confidential or sensitive company information.
2026-10-30T14:58:43Z

Principal Software Engineer

Knoxville, TN
remote
Permanent / Full Time
- USD / Yearly
Robert Half is hiring! We are looking for a Principal Software Engineer to lead the design and delivery of modern AI-driven software solutions. This role combines hands-on engineering with technical leadership across backend services, frontend applications, and intelligent workflow development. The ideal candidate brings deep full-stack expertise, a strong product mindset, and the ability to guide scalable systems from concept through production. Responsibilities:• Lead complete product delivery efforts, from technical planning and architecture through implementation, testing, and long-term support.• Create and refine agentic AI workflows that support business goals and integrate effectively with broader application ecosystems.• Build, enhance, and support scalable server-side applications using Python frameworks such as Django, Flask, or FastAPI, or Node.js frameworks including Express or NestJS.• Develop robust RESTful and GraphQL interfaces that enable reliable communication between platforms, services, and user-facing applications.• Implement and improve React-based frontend features with a focus on usability, responsiveness, and smooth integration with backend systems.• Architect and maintain microservices and distributed application components to support performance, resilience, and future growth.• Improve system efficiency by tuning application behavior, streamlining database interactions, and optimizing cloud infrastructure usage.• Apply strong security standards by implementing access controls, authentication mechanisms, and authorization practices across the platform.• Oversee automated delivery processes and container-based deployments using CI/CD pipelines, Docker, and related engineering tools.• Partner with product, design, and DevOps teams to resolve production issues, maintain cloud-based services, and deliver high-quality software outcomes.
2026-11-02T14:38:42Z

Staff Software Engineer

Minneapolis, MN
onsite
Permanent / Full Time
180000.00 - 250000.00 USD / Yearly
We’re seeking a Staff Software Engineer to lead technical strategy and execution across a product domain or platform area spanning multiple teams. In this role, you will own outcomes end-to-end by defining success metrics, shaping the roadmap, and driving measurable improvements over time. You will set the architectural direction for scalable APIs, backend services, data platforms, and event-driven systems that operate across team boundaries. You’ll also lead the most complex work related to performance, scalability, and reliability.As a senior technical leader, you will raise the engineering bar across the organization by establishing standards, creating reusable platforms and patterns, improving documentation practices, simplifying systems, and reducing technical debt.You’ll be responsible for making and communicating high-impact technical decisions across architecture, security, performance, cost, and scalability. This includes identifying risks early and designing safeguards before they become incidents.This role requires close partnership with Product, Design, Machine Learning, Client Success, and engineering leadership to shape strategy, turn ambiguous business goals into clear multi-quarter technical plans, and align teams on execution.You will also help define how the organization adopts AI-assisted and agentic development practices by establishing guardrails for verification, security, and human accountability in production decisions, while measuring the real impact these tools create.In addition, you will mentor senior engineers, influence technical direction across the organization, lead architecture reviews, and remain hands-on with the highest-impact technical work.
2026-11-03T12:18:42Z

MLOps Engineer II (GPU Compute)

Coppell, TX
onsite
Temporary to Hire
75.00 - 80.00 USD / Hourly
We are looking for a MLOps Engineer II w/ a focus on GPU Compute to join a team in Coppell, Texas, on a Long-term Contract assignment. In this role, you will design and refine vision-based AI solutions that support real-world image and video use cases, while partnering with cross-functional teams to move ideas from research into production. The position is ideal for someone who combines strong machine learning expertise with practical understanding of hardware constraints and model performance in live environments. Responsibilities:•Deploy GPUs (Graphics Processing Units) workflows in a retail environment that requires processing massive amounts of image, video, customer, and transaction data.•Design, build, and enhance computer vision and machine learning models for use cases involving object detection, image segmentation, classification, and video-based analysis.•Compare modeling approaches, assess trade-offs across accuracy, speed, and scalability, and recommend fit-for-purpose solutions aligned with business goals.•Train and adapt deep learning models using frameworks such as PyTorch or TensorFlow, applying techniques like transfer learning and optimization for efficient performance.•Establish evaluation methods, track key performance measures, investigate error patterns, and iterate on models to improve reliability and response time.•Incorporate practical considerations related to cameras, sensors, lighting conditions, and edge hardware when developing and tuning solutions.•Create and support data preparation, annotation, and validation workflows that enable consistent experimentation and dependable deployment.•Work closely with software, hardware, and MLOps partners to transition models from proof of concept into production-ready applications.•Contribute to deployment readiness by helping optimize models for inference and operational use in resource-constrained environments.
2026-10-27T16:33:47Z

Agent Platform Engineer

Los Angeles, CA
onsite
Permanent / Full Time
200000.00 - 300000.00 USD / Yearly
Software Engineer Company OverviewA leading organization is seeking a Software Engineer to help develop next-generation AI platforms. This is an opportunity to work on cutting-edge AI technologies within a highly collaborative and innovative engineering environment. Role SummaryThe Software Engineer will design, build, and optimize enterprise-grade AI platforms that connect structured and unstructured data, knowledge graphs, retrieval systems, and intelligent workflows. The ideal candidate combines strong software engineering fundamentals with expertise in AI systems, distributed architectures, and scalable platform development. Key Responsibilities<ul><li>Design and implement intelligent workflow systems for research, analysis, automation, and decision-support use cases.</li><li>Develop scalable retrieval, search, and knowledge management capabilities across structured and unstructured datasets.</li><li>Build backend services, APIs, and platform capabilities supporting AI-driven applications.</li><li>Create resilient workflow orchestration patterns for long-running, distributed, and fault-tolerant processes.</li><li>Develop authorization, permission management, auditing, and governance mechanisms within AI platforms.</li><li>Optimize retrieval, inference, and execution performance across diverse deployment environments.</li><li>Fine-tune, evaluate, and integrate open-source AI models to support specialized business workflows.</li><li>Implement model routing, inference optimization, caching, and fallback strategies.</li><li>Build evaluation frameworks that measure system accuracy, reliability, performance, and operational effectiveness.</li><li>Develop observability, monitoring, alerting, and troubleshooting capabilities across platform components.</li><li>Partner with product, data, machine learning, infrastructure, security, and customer-facing teams to deliver scalable solutions.</li><li>Contribute to technical architecture, engineering standards, and long-term platform strategy.</li></ul>
2026-10-30T18:34:06Z

Enterprise Solutions Engineer

Greenwood Village, CO
onsite
Temporary / Contract
39.59 - 45.84 USD / Hourly
We are looking for an Enterprise Solutions Engineer to support and enhance enterprise collaboration and AI platforms in Greenwood Village, Colorado. This Long-term Contract position focuses on strengthening Microsoft 365 environments, advancing governance practices, and helping the organization scale secure, compliant solutions. The role is well suited for someone who can balance platform administration, operational support, and stakeholder collaboration while driving continuous improvement across modern workplace technologies. Responsibilities: • Strengthen governance standards and operational controls across Microsoft 365 and supported enterprise AI environments to improve security, compliance, and scalability. • Configure and refine workflows using AvePoint and native Microsoft capabilities to support effective platform oversight and policy execution. • Administer and enhance Microsoft Purview features such as retention, sensitivity labeling, insider risk controls, and information lifecycle processes. • Support the management of enterprise AI platforms by helping enforce policies, oversee access structures, and maintain responsible agent lifecycle practices. • Investigate complex escalations and deliver advanced support across SharePoint, Teams, OneDrive, Entra ID, Purview, Power Platform, AvePoint, and approved AI tools. • Monitor platform health, assess collaboration environments, and recommend improvements that reduce workspace sprawl and raise overall service quality. • Carry out governance and administrative tasks through Microsoft 365 and related platform management consoles. • Partner with global teams to communicate changes, support adoption of new capabilities, and promote consistent implementation across regions. • Develop dashboards and reporting that measure usage trends, governance effectiveness, adoption levels, and potential risk indicators to guide leadership decisions.
2026-10-27T12:43:43Z

Human Resources (HR) Sourcer

San Mateo, CA
onsite
Temporary to Hire
38.00 - 44.00 USD / Hourly
Robert Half is working with a rapidly growing AI technology company at the forefront of enterprise AI infrastructure, helping businesses build, train, and deploy advanced AI models tailored to their unique data, workflows, and products. Backed by leading investors and founded by innovators behind PyTorch, the organization is helping shape the future of artificial intelligence through cutting-edge technology and a collaborative, high-performance culture. We are seeking a strategic, data-driven Talent Sourcer to join the growing People team. This individual will play a critical role in building talent pipelines, identifying exceptional passive candidates, and supporting hiring initiatives across technical and go-to-market functions. The ideal candidate is a proactive sourcing professional who thrives in a fast-paced startup environment and knows how to engage highly sought-after talent in a competitive market. Key Responsibilities<ul><li>Talent Sourcing & Pipeline Development: Proactively identify, research, and engage high-quality passive candidates through LinkedIn, GitHub, technical communities, open-source networks, and other creative sourcing channels.</li><li>Recruiting Partnership: Collaborate with recruiters, hiring managers, and business leaders to understand hiring needs, define ideal candidate profiles, and develop targeted sourcing strategies.</li><li>Candidate Outreach & Engagement: Create personalized, compelling outreach campaigns that attract top talent and communicate the company's mission, technology, and career opportunities.</li><li>Initial Candidate Screening: Conduct preliminary conversations to assess candidate qualifications, relevant experience, technical capabilities, and alignment with team needs.</li><li>Market Research & Talent Mapping: Research competitor organizations, emerging talent pools, and industry trends to identify opportunities and strengthen recruiting strategies.</li><li>Diversity Sourcing: Build diverse candidate pipelines and implement sourcing strategies that support inclusive and equitable hiring practices.</li><li>ATS Management & Reporting: Maintain accurate candidate records, track sourcing activity, monitor pipeline metrics, and use data to measure and improve sourcing effectiveness.</li><li>Continuous Improvement: Experiment with new sourcing tools, techniques, and engagement strategies to improve candidate conversion and hiring outcomes</li></ul>
2026-10-23T17:48:43Z

Software Engineer

New York, NY
remote
Temporary to Hire
76.00 - 88.00 USD / Hourly
We are looking for a Software Engineer to join a contract opportunity with the potential to become permanent, based in New York, New York. This position will play a key role in shaping technical architecture across integrations, platform security, data flow, and release readiness within a Workday-focused environment. The ideal candidate brings strong engineering judgment, hands-on integration expertise, and the ability to guide technical standards while partnering with stakeholders across the organization. Responsibilities: • Direct the overall strategy for the integration ecosystem, including monitoring system health, maintaining technical inventories, and planning future enhancements across connectors, Studio solutions, and downstream consumers. • Create and evaluate integration designs while establishing best practices for development, exception management, operational logging, and technical documentation. • Partner with security stakeholders to define and maintain a robust tenant security framework covering access controls, business process security, and integration-related permissions. • Assess the technical implications of platform updates and version changes, leading regression planning and validation efforts to reduce production risk. • Investigate complex production issues affecting integrations, identify underlying causes, and implement durable corrective actions. • Design and support advanced platform solutions such as Extend, Prism, or reporting capabilities when required by business needs. • Promote modern engineering practices by introducing AI-supported development approaches, automated testing, and continuously updated technical knowledge assets. • Provide technical leadership to engineers through coaching, design oversight, and participation in the interview process for new team members.
2026-10-16T17:03:59Z

Sr. Software Engineer

Oklahoma City, OK
onsite
Permanent / Full Time
130000.00 - 140000.00 USD / Yearly
We are looking for a Senior Software Engineer to join a collaborative team in Oklahoma City, Oklahoma, where you will help shape and enhance a high-impact, customer-facing enterprise platform. This position offers the opportunity to contribute technical leadership, influence engineering standards, and drive meaningful improvements in an Agile development environment. The ideal candidate brings strong full-stack expertise, a quality-focused mindset, and the ability to work effectively across web, mobile, and backend systems. Responsibilities: • Drive the design, development, and ongoing support of new features for a prominent enterprise application while partnering closely with Agile team members. • Build and refine automated test coverage, and perform hands-on validation activities such as acceptance and regression testing to maintain dependable releases. • Review peer code submissions, offer thoughtful technical guidance, and help uphold strong engineering practices across the team. • Assess incoming work, define technical tasks, and provide realistic effort estimates to support planning for roadmap priorities and client needs. • Identify process, architecture, and tooling enhancements that improve team productivity, software quality, and long-term maintainability. • Investigate system behavior across different environments and implement performance improvements that strengthen stability and user experience. • Collaborate across web, iOS, Android, and backend dependencies to keep releases coordinated and the broader platform operating smoothly. • Communicate with stakeholders and clients to clarify requirements, align technical solutions with business goals, and provide consulting-oriented support.
2026-10-09T16:33:46Z

Computer Vision Engineer

Cambridge, MA
onsite
Permanent / Full Time
130000.00 - 160000.00 USD / Yearly
We are looking for a Computer Vision Engineer to join a growing team building AI-driven solutions for manufacturing environments in Cambridge, Massachusetts. In this role, you will create and deploy vision models that interpret live camera feeds to support defect detection and workflow monitoring across industrial settings. This position is ideal for an engineer who enjoys turning machine learning concepts into reliable production systems and collaborating closely with technical teams to deliver measurable operational value. Responsibilities: • Design, train, and refine computer vision models for manufacturing use cases such as defect identification, anomaly detection, and step-by-step task tracking. • Build production-ready Python-based machine learning pipelines using frameworks such as PyTorch or TensorFlow. • Work with image and video data captured from facility cameras to develop accurate and scalable real-time analysis solutions. • Deploy and support vision applications in cloud and edge environments, including AWS services such as S3 and EC2. • Collaborate with engineering leadership and cross-functional teammates to translate customer needs into practical model and system designs. • Create solutions from the ground up using supervised and unsupervised learning techniques where appropriate. • Improve system performance through testing, evaluation, and iterative tuning of algorithms in live operational settings. • Participate in periodic onsite visits to customer facilities to understand workflows, validate model behavior, and support implementation.
2026-10-26T17:44:08Z

Data Automation Engineer

Washington, DC
remote
Temporary / Contract
48.00 - 54.00 USD / Hourly
We are looking for a Data Automation Engineer to design, develop, and maintain scalable data automation solutions leveraging AWS cloud services, selected Azure technologies, and emerging Generative AI capabilities. Key Responsibilities:· Design and implement scalable data automation workflows using AWS services with integration to Azure platforms.· Develop and maintain ETL/ELT processes to ingest, transform, and move data across DynamoDB, SQL Server, Azure SQL, and other enterprise data sources.· Build and support batch and near real-time data pipelines using Apache Spark and streaming technologies such as Kafka or Flume.· Develop scalable data processing solutions utilizing Amazon EMR, AWS Fargate, Kubernetes, and related cloud technologies.· Integrate REST APIs, external services, and Amazon Connect customer interaction data into analytics platforms.· Evaluate and prototype Generative AI solutions using Amazon Bedrock, Azure OpenAI, Hugging Face, LangChain, and related technologies.· Implement source control, CI/CD, and automation practices using GitHub, Azure DevOps, Jenkins, Docker, and Agile methodologies.· Ensure data solutions meet security and compliance requirements, including IAM, encryption, RBAC, VPC isolation, and firewall policies.
2026-10-15T16:58:42Z

Data Engineer

St. Paul, MN
onsite
Temporary to Hire
57.00 - 66.00 USD / Hourly
We are looking for a senior Data Engineer. This position combines architectural leadership with hands-on development across a modern cloud data ecosystem, with a strong focus on building dependable, scalable, and efficient data solutions. The role will help shape engineering standards, strengthen platform governance, and support high-quality data delivery for enterprise analytics and emerging AI-driven use cases. Responsibilities:• Provide technical direction to engineering teams and guide the successful execution of complex data platform initiatives.• Create and enhance robust data pipelines and reusable data products that support scalable analytics and reporting needs.• Develop and refine cloud-based data solutions using Snowflake, dbt, Fivetran, and Azure services.• Build automation-first, metadata-driven processing frameworks to improve consistency, maintainability, and operational efficiency.• Design curated data structures using established modeling approaches such as Data Vault, Kimball, and dimensional modeling.• Improve platform performance through tuning, cost management, and scalability planning across data workloads.• Establish and reinforce best practices for data quality, governance, lineage tracking, observability, and CI/CD delivery.• Support Azure-based integration, storage, compute, and DevOps capabilities required for reliable end-to-end data operations.• Enable data foundations that can support advanced analytics, AI/ML initiatives, and modern analytical architectures.
2026-11-05T11:33:41Z

Product Designer

Jacksonville, FL
onsite
Permanent / Full Time
- USD / Yearly
We are looking for a Product Designer to shape thoughtful, scalable experiences for a growing AI-driven product in Jacksonville, Florida. This role will lead design across core workflows, from app-building journeys to administrative and governance features, while helping establish a cohesive visual and interaction foundation. The ideal candidate brings strong systems thinking, comfort working closely with engineering, and the ability to turn feedback and product complexity into clear, user-centered solutions. Responsibilities: • Lead the development and ongoing refinement of the platform’s design system, including reusable patterns, visual rules, and well-documented component behavior for AI-powered applications. • Define detailed component guidance that supports both engineering implementation and high-quality AI-generated interface outputs. • Strengthen generated product experiences by spotting repeat usability or consistency problems and improving the underlying design logic that drives them. • Design complete user journeys across the app builder, AI-assisted interactions, and workspace administration capabilities. • Maintain a high standard of visual consistency, accessibility, and ease of use throughout customer-facing environments. • Partner directly with engineers in a hands-on way to iterate on components, validate implementation quality, and review released experiences. • Use lightweight discovery methods such as user feedback, quick testing, and ongoing observation to inform continuous product improvements. • Contribute design work for web, demo, and marketing experiences while clearly presenting rationale and tradeoffs to cross-functional stakeholders. • Manage priorities independently, balance scope effectively, and drive meaningful design progress as the sole Product Designer.
2026-10-28T18:48:44Z

AI Development

New Richmond, WI
remote
Temporary / Contract
70.00 - 90.00 USD / Hourly
We are looking for an experienced AI Development specialist to contribute to healthcare-focused software initiatives in Wisconsin. This long-term contract opportunity is ideal for an experienced engineer who can lead technical work independently, from solution design through production deployment, while building reliable systems for regulated environments. The role blends modern AI capabilities with backend and API engineering, with a strong emphasis on secure cloud delivery and healthcare data interoperability. Responsibilities: • Design, develop, and launch production-grade applications and services that support healthcare technology use cases. • Build and maintain secure cloud-based solutions using AWS, with attention to infrastructure reliability, access controls, and compliance expectations. • Create and evolve external-facing APIs that enable third-party integrations and dependable data exchange. • Work with healthcare interoperability standards such as HL7 and EDI to support clinical and operational data workflows. • Apply strong ownership across the full software lifecycle, including architecture decisions, implementation, testing, deployment, and operational support. • Develop AI-enabled features and integrations using tools such as Claude and OpenAI where they add measurable value to product capabilities. • Implement infrastructure as code practices with tools such as AWS CDK or Terraform to standardize and automate deployment processes. • Collaborate on backend and web application development using modern TypeScript-based frameworks and data platforms. • Support regulated data handling practices in HIPAA-governed environments, including secure storage, encryption, and audit-minded engineering. • Contribute to ongoing evaluation and implementation of database and platform enhancements, including audit, vector, and replication-related capabilities when needed.
2026-11-04T21:23:46Z

Machine Learning Engineer

Los Angeles, CA
onsite
Permanent / Full Time
200000.00 - 300000.00 USD / Yearly
Machine Learning Engineer Company OverviewBased in Los Angeles, California, the company specializes in transforming complex, multi-source data into actionable insights through machine learning, knowledge graph technologies, and advanced analytics. This is an opportunity to work on mission-critical applications in a highly collaborative environment focused on innovation, scalability, and operational excellence. Role SummaryThe Machine Learning Engineer will play a critical role in designing, training, deploying, and optimizing machine learning models that operate on large-scale temporal, geospatial, relational, and unstructured datasets. Key Responsibilities<ul><li>Design, train, evaluate, deploy, and optimize machine learning models across multiple production use cases.</li><li>Build predictive solutions for anomaly detection, forecasting, entity resolution, relationship prediction, risk assessment, and operational decision support.</li><li>Partner with data engineering teams to develop high-quality training datasets from structured, unstructured, temporal, relational, and geospatial data sources.</li><li>Design model architectures and select appropriate algorithms based on business objectives, data characteristics, and operational requirements.</li><li>Develop and maintain machine learning pipelines spanning data preparation, feature engineering, training, evaluation, deployment, and monitoring.</li><li>Build scalable solutions that leverage graph-based and knowledge graph-driven data architectures.</li><li>Establish rigorous evaluation frameworks, baselines, performance metrics, and validation methodologies.</li><li>Design experiments that mitigate data leakage, model drift, bias, and changing data distributions.</li><li>Implement monitoring, observability, alerting, retraining, rollback, and model governance processes.</li><li>Maintain reproducible datasets, model artifacts, evaluation results, and deployment workflows.</li><li>Collaborate with distributed engineering teams to deliver reliable and scalable machine learning capabilities.</li><li>Improve model calibration, confidence scoring, uncertainty estimation, and explainability.</li><li>Contribute to technical architecture, machine learning standards, and long-term platform strategy.</li></ul>
2026-10-30T18:38:44Z

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