202 Results for Machine Learning Engineer Jobs in Usa

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Software Engineer

Sinton, Texas
onsite
Permanent / Full Time
90000 - 100000 USD / Yearly
We are looking for a Software Engineer to join a team in Sinton, Texas and build reliable, scalable applications that support business operations. This role involves creating and improving both front-end and back-end solutions, partnering with users to translate needs into effective technical outcomes, and maintaining high standards for code quality and security. The ideal candidate brings strong problem-solving ability, solid experience with modern development tools, and a proactive approach to delivering well-documented, dependable software. Responsibilities: • Build, enhance, and support software applications and related services using contemporary development technologies such as C#, .NET, Python, and web-based frameworks. • Investigate application issues, diagnose root causes, and implement fixes that improve stability, functionality, and performance. • Produce clear technical documentation covering system behavior, design decisions, and implementation details to support maintainability. • Apply secure development methods and align coding practices with established organizational standards and quality expectations. • Manage assigned tasks independently, track commitments responsibly, and deliver work within agreed timelines. • Collaborate with business users to gather, clarify, and translate functional needs into practical software solutions. • Create and optimize SQL components, including queries, views, stored procedures, and triggers, with an emphasis on efficiency and appropriate design. • Contribute to integrations and connected systems through APIs, webhooks, and other modern interface methods. • Strengthen technical capabilities through ongoing learning and by staying current with evolving tools, practices, and engineering approaches.
2026-09-24T00:00:00Z

Software Engineer

Bellevue, Washington
remote
Temporary / Contract
60 - 70 USD / Hourly
Robert Half is seeking a Senior Software Engineer with strong expertise in backend development and an AI forward mindset to support a Financial Services client headquartered in Bellevue, WA. This position is a 6 month contract and is 100% Remote. Apply today! Duration: 6 month contractSchedule: PST Core Hours, flexible Location: 100% Remote Responsibilities: <ul><li>Develop secure, scalable, and maintainable backend applications using Python.</li><li>Design, build, and maintain microservices, RESTful APIs, and cloud-native applications.</li><li>Develop reusable solutions, shared libraries, and engineering standards that improve team productivity.</li><li>Participate in code reviews and ensure adherence to development and quality standards.</li><li>Implement unit, integration, and performance testing to support production-ready solutions.</li><li>Configure and maintain CI/CD pipelines and development automation.</li><li>Troubleshoot production issues and perform root cause analysis.</li><li>Partner with Product Owners, Business Analysts, architects, and other stakeholders to translate business requirements into effective technical solutions.</li><li>Participate in and lead technical design discussions, architecture reviews, and engineering initiatives.</li><li>Apply best practices for scalability, security, performance, observability, disaster recovery, and capacity planning.</li><li>Communicate technical decisions and tradeoffs effectively to both technical and non-technical audiences.</li><li>Mentor and provide technical guidance to other engineers through pairing, coaching, and knowledge sharing.</li><li>Leverage AI-assisted development tools and integrated AI agents to improve developer velocity, code quality, automation, and engineering outcomes.</li><li>Evaluate emerging technologies and help introduce tools and practices that improve software delivery.</li></ul>
2026-09-30T00:00:00Z

Software Engineer

Plano, Texas
onsite
Temporary to Hire
63.3365 - 73.337 USD / Hourly
We are looking for a Software Engineer to join a services team in Plano, Texas, in a contract capacity with the potential for a permanent role. This role focuses on building and supporting cloud-native applications that rely on scalable, event-driven microservices and modern engineering practices. The ideal candidate brings strong experience with distributed systems, cloud platforms, and collaborative delivery in a fast-moving environment. Responsibilities: • Create and enhance cloud-native microservices that support high availability, strong performance, and long-term scalability. • Develop event-driven application components and integrate messaging patterns through publish-and-subscribe architectures. • Build, package, and manage services with container technologies while supporting orchestration in Kubernetes environments. • Partner with DevOps and infrastructure teams to streamline deployments, strengthen CI/CD workflows, and improve production reliability. • Investigate and resolve issues affecting system responsiveness, uptime, and application stability across distributed services. • Work with cross-functional stakeholders to translate business needs into technical solutions and deliver well-designed software increments. • Participate in peer code reviews, share engineering best practices, and provide guidance to less experienced developers. • Contribute to production support efforts by diagnosing incidents and implementing sustainable fixes. • Evaluate tools, frameworks, and architectural approaches, offering clear technical rationale for design decisions. • Maintain awareness of emerging trends in cloud engineering, microservices, and software delivery practices.
2026-10-02T00:00:00Z

Azure Cloud Engineer – AI & Automation

Malvern, Pennsylvania
onsite
Temporary to Hire
0 - 0 USD / Yearly
We are looking for an Azure Cloud Engineer – AI & Automation to join a contract opportunity based in Pennsylvania. In this role, you will help shape and support secure Azure environments while enabling AI-driven capabilities across cloud infrastructure, automation, and platform operations. This position is ideal for someone who enjoys balancing hands-on engineering with governance, reliability, and scalable delivery practices in a highly regulated environment. Responsibilities: • Create and support Azure-based solutions spanning infrastructure, connectivity, identity, storage, and managed platform services in line with enterprise architecture and security expectations. • Develop and optimize deployment automation using infrastructure-as-code and modern release pipelines through tools such as Azure DevOps, GitHub Actions, Bicep, and Terraform. • Operate and administer AI services across Azure AI Foundry, Azure OpenAI, Claude, and related platforms, including model setup, permission management, policy enforcement, evaluation, and live environment support. • Establish and govern secure integrations for Model Context Protocol and connected enterprise systems by applying strong authentication, access controls, and data protection standards. • Manage APIs, event-driven components, and security gateway configurations that enable AI services and automated workflows to connect with business applications reliably. • Build retrieval-augmented AI solutions using Azure AI Search, embeddings, and vector-based data patterns to improve access to enterprise knowledge. • Maintain and enhance automation solutions built with Power Automate, Logic Apps, and Copilot Studio, supporting integrations with Microsoft 365, Teams, SharePoint, and ServiceNow. • Strengthen cloud governance through Azure Policy, tagging strategy, cost oversight, monitoring, logging, and operational observability tools such as Azure Monitor and Application Insights. • Support Microsoft Fabric administration by overseeing tenant settings, workspace permissions, capacity controls, data access, and usage visibility across supported workloads. • Contribute technical documentation, reusable standards, KPI/KRI reporting, change review activities, and incident or release support for cloud and AI environments.
2026-10-01T00:00:00Z

AI/ML Engineer

Phoenix, Arizona
onsite
Temporary / Contract
0 - 0 USD / Yearly
A growing organization in the Phoenix area is seeking an experienced AI/ML Engineer to design, develop, and deploy machine learning and artificial intelligence solutions that drive business innovation and operational efficiency. This role will work closely with software engineers, data scientists, product teams, and business stakeholders to build scalable AI-powered applications and advanced analytics solutions.The ideal candidate combines strong software engineering fundamentals with hands-on experience in machine learning, deep learning, and modern AI technologies, including generative AI and large language models (LLMs). Key Responsibilities<ul><li>Design, develop, test, and deploy machine learning models and AI-driven applications.</li><li>Build and maintain scalable data pipelines to support model training, evaluation, and production inference.</li><li>Develop predictive analytics, classification, recommendation, forecasting, and natural language processing (NLP) solutions.</li><li>Implement and optimize deep learning models using modern frameworks and cloud-based infrastructure.</li><li>Collaborate with cross-functional teams to identify business opportunities for AI and machine learning applications.</li><li>Monitor model performance, accuracy, and reliability in production environments.</li><li>Apply MLOps best practices for model versioning, deployment automation, monitoring, and governance.</li><li>Develop APIs and microservices to operationalize AI models and integrate them into enterprise applications.</li><li>Work with structured and unstructured datasets to prepare, cleanse, and engineer features for modeling.</li><li>Stay current with emerging technologies and advancements in AI, machine learning, and generative AI.</li></ul>
2026-09-18T00:00:00Z

Hardware Engineer

Lavergne, Tennessee
onsite
Permanent / Full Time
85000 - 95000 USD / Yearly
We're partnering with a growing technology organization in Nashville that is seeking a Hardware Engineer to support hardware testing, debugging, and product development efforts. This is an excellent opportunity for an engineer who enjoys hands-on troubleshooting, collaborating across teams, and working closely with R&D and manufacturing to bring products to market. What You'll Do<ul><li>Set up and maintain hardware testing and debug environments.</li><li>Troubleshoot hardware issues and support root cause analysis efforts.</li><li>Partner with R&D, manufacturing, and vendor teams to resolve technical challenges.</li><li>Perform signal measurements and bring-up testing.</li><li>Utilize lab equipment including oscilloscopes and digital multimeters.</li><li>Support PCB rework, soldering, and hardware validation activities.</li><li>Assist manufacturing teams with debugging and troubleshooting efforts.</li></ul>
2026-09-11T00:00:00Z

Data Scientist

Irmo, South Carolina
onsite
Temporary / Contract
0 - 0 USD / Yearly
We are looking for a Data Scientist to join a cutting-edge team in Columbia, SC. This role is suited for a hands-on, detail-oriented individual who can quickly step into an established engineering environment and contribute as an individual contributor alongside a stable, collaborative team. You will work closely with software engineering partners to build data-driven solutions, support analytics initiatives, and apply machine learning and ETL expertise to business needs. Responsibilities:• Develop, maintain, and improve data pipelines that collect, transform, and prepare information for analytical and operational use.• Design and implement machine learning models that address business challenges and support data-informed decision-making.• Partner with software engineers, product stakeholders, and quality teams to integrate data science solutions into broader technical workflows.• Analyze complex datasets to identify trends, generate insights, and recommend practical next steps based on findings.• Step into ongoing initiatives with minimal ramp-up time by reviewing existing work and continuing progress on active projects.• Translate business questions into structured analytical approaches, selecting appropriate methods, tools, and validation techniques.• Document methodologies, model performance, and data processes to support knowledge sharing and maintainability across the team.• Participate in periodic onsite collaboration in Irmo, South Carolina, with in-person attendance expected once per quarter.
2026-09-14T00:00:00Z

Data Scientist

Farmers Branch, Texas
remote
Temporary to Hire
71.25 - 82.5 USD / Hourly
We are looking for a Data Scientist to join a healthcare-focused analytics team in Texas, where you will turn complex data into practical insights and scalable solutions. This contract position with the potential to become permanent is ideal for someone who combines strong statistical knowledge with curiosity, business acumen, and a passion for solving meaningful problems. You will work closely with technical and business partners to design predictive models, improve data quality, and communicate findings that support informed decision-making. Responsibilities: • Transform large, complex datasets into actionable insights by exploring trends, identifying patterns, and uncovering opportunities that support business goals. • Build, test, and refine machine learning models and predictive solutions that improve decision-making and deliver measurable value. • Prepare structured and unstructured data for analysis through cleansing, validation, and preprocessing to ensure reliability and usability. • Strengthen data acquisition practices by recommending improvements that capture the information needed for advanced analytics initiatives. • Partner with business leaders, analysts, and IT teams to define problems, evaluate options, and shape data-driven strategies. • Communicate analytical findings through clear narratives, presentations, and visualizations that make complex results easy to understand. • Create impactful dashboards and visual tools that highlight performance gaps, emerging opportunities, and areas for operational improvement. • Facilitate discussions with stakeholders to gather requirements, iterate on analytical approaches, and align solutions with business needs. • Handle sensitive information with discretion while supporting a culture of continuous improvement, accountability, and evidence-based decision-making.
2026-10-01T00:00:00Z

Data Scientist

Bala Cynwyd, Pennsylvania
remote
Temporary / Contract
0 - 0 USD / Yearly
We are looking for a Data Scientist to join a healthcare-focused technology team in Bala Cynwyd, Pennsylvania on a Long-term Contract basis. This position will support predictive analytics initiatives tied to state programs, quality oversight, compliance monitoring, and risk evaluation. The role is well suited for someone who can work comfortably across technical analysis, stakeholder communication, and team guidance while using modern Microsoft-based data tools. Responsibilities: • Build and refine predictive models that support healthcare analytics, quality measurement, compliance assessment, and risk-related reporting. • Analyze complex datasets to uncover trends, generate actionable insights, and improve decision-making for program and operational stakeholders. • Create interactive dashboards and reporting solutions in Power BI to present findings in a clear and business-friendly format. • Use R, Python, SQL, and related tools to prepare data, perform statistical analysis, and develop repeatable analytical workflows. • Work within Azure and Microsoft-based data environments, including SQL Server and MySQL, to manage and access structured data sources. • Partner with analysts and business teams to translate technical results into practical recommendations for non-technical audiences. • Provide day-to-day guidance and informal leadership within a small analytics team, helping coordinate priorities and support best practices. • Contribute to data engineering and integration activities, including ETL processes and the use of tools such as Spark, Hadoop, and Kafka where needed. • Leverage approved AI tools such as Copilot to improve efficiency in analysis, documentation, and reporting tasks.
2026-10-01T00:00:00Z

Data Engineer/Modeler

West Des Moines, Iowa
onsite
Temporary / Contract
0 - 0 USD / Yearly
We are looking for a Data Engineer/Modeler to join a long-term contract opportunity in West Des Moines, Iowa. This position focuses on shaping enterprise semantic models and ontology frameworks that make business information consistent, governed, and usable across analytics, reporting, AI, and advanced data initiatives. The ideal candidate will combine strong data modeling expertise with hands-on semantic and knowledge graph experience, along with a solid understanding of insurance data domains. Working closely with technical teams and business partners, this role will help create a trusted data foundation that supports enterprise decision-making. Responsibilities: • Build and enhance enterprise ontologies, semantic structures, taxonomies, and knowledge graph models to represent core business concepts in a machine-readable format. • Define entities, attributes, hierarchies, relationships, business rules, and performance metrics across multiple data domains to support a consistent semantic layer. • Develop models for insurance-focused subject areas such as policy, claims, underwriting, customer, product, sales, and producer or agency data. • Translate logic captured in reports, dashboards, operational workflows, stored procedures, and stakeholder knowledge into governed semantic and data models. • Apply both business-led and source-system-driven modeling approaches to align conceptual designs with underlying data structures. • Assess and improve AI-assisted ontology outputs to ensure semantic accuracy, usability, and alignment with enterprise standards. • Connect ontology concepts to physical source systems and confirm model integrity against trusted systems of record. • Manage model promotion and version control across development, testing, and production environments using Git and established release practices. • Partner with architects, engineers, BI teams, analysts, and business stakeholders to deliver scalable semantic solutions and support governance, lineage, metadata, and data quality efforts.
2026-09-18T00:00:00Z

Product Engineer

Langhorne, Pennsylvania
onsite
Permanent / Full Time
0 - 0 USD / Yearly
We are seeking a technically strong Product Engineer to support the development, quality, compliance, and ongoing improvement of our client’s diverse product portfolio. This Product Engineer will serve as a key technical resource across product development and will work closely with international manufacturing partners, internal product and quality teams, sales, and branch operations.The ideal candidate brings hands-on knowledge of refrigeration and HVAC/R equipment, strong engineering judgment, and the ability to translate technical requirements into practical product solutions. Experience working with overseas manufacturers, particularly within a private-label or distribution environment, is highly valued. How You Will Make an Impact:<ul><li>Manage the technical lifecycle of assigned products, establishing and maintaining engineering requirements, specifications, and performance standards from initial development through commercialization.</li><li>Support a broad product portfolio that includes ductless and inverter-based ducted systems, refrigerants, hoses, tools, components, and replacement parts.</li><li>Analyze engineering drawings, technical documentation, specifications, and manufacturer data to identify design, performance, and manufacturability considerations.</li><li>Collaborate with international factory partners to refine product designs, resolve technical concerns, and ensure products meet established requirements.</li><li>Work closely with the international office and manufacturing teams to create, update, and standardize product specifications and technical documentation.</li><li>Oversee engineering aspects of product compliance and certification for the North American market, including UL, ETL, AHRI, EPA 608, and DOE requirements.</li><li>Investigate product failures and technical issues through structured root-cause analysis and coordinate corrective and preventive actions with suppliers.</li><li>Contribute technical expertise to product planning by researching competing products, conducting teardown evaluations, and assessing new technologies and market developments.</li><li>Assist with new product introductions by coordinating third-party testing, certification activities, and technical approvals.</li><li>Prepare and maintain product documentation, including installation instructions, troubleshooting materials, technical notices, and product bulletins.</li><li>Track changes to HVAC/R industry standards and government regulations and communicate potential impacts to the product and compliance teams.</li><li>Work with Sales and Marketing to create technical product resources, competitive comparison materials, training content, and other tools that support the field organization.</li></ul>
2026-09-23T00:00:00Z

Software Engineer II – AI Engineer (w/ skills in Deployment)

San Ramon, California
remote
Permanent / Full Time
85000 - 124000 USD / Yearly
Robert Half is seeking a Software Engineer II – AI Engineer who will analyze, design, program, debug, test, implement, deploy, and support software enhancements and new applications using Generative AI technologies. This role contributes to the development and production deployment of GenAI-enabled applications, including LLM-powered workflows, RAG pipelines, and AI-driven user experiences. This role supports SDLC documentation across all phases, with a focus on deployment, evaluation, observability, safety, and monitoring. It also interacts with users to define requirements and support applications in production. What You’ll Do <ul><li>Develop and modify application modules, including GenAI components. </li><li>Build prompt workflows, retrieval layers, APIs, and cloud services. </li><li>Troubleshoot production issues, including latency, hallucinations, and errors. </li><li>Provide Level II production support for deployed systems. </li><li>Design components, including LLM integrations and RAG pipelines. </li><li>Implement CI/CD pipelines, containerization, and release processes. </li><li>Develop RAG pipelines with embeddings, chunking, and vector search. </li><li>Apply prompt engineering techniques, including few-shot prompting and structured outputs. </li><li>Evaluate models for accuracy, relevance, and hallucination risk. </li><li>Implement safety guardrails, including PII protection and prompt-injection defense. </li><li>Execute testing, including unit, integration, and GenAI evaluation testing. </li><li>Monitor production systems for latency, cost, usage, and errors. </li><li>Support incident management with fallback and recovery strategies. </li></ul>
2026-09-28T00:00:00Z

M365 Engineer

Madison, Wisconsin
remote
Temporary / Contract
58 - 66 USD / Hourly
Senior Microsoft 365 / Copilot & Power Platform EngineerWe are seeking a senior Microsoft technology professional to support enterprise Microsoft 365 initiatives, with a strong emphasis on Microsoft Copilot/Copilot Studio and Power Platform. This role combines hands-on solution development and implementation with administration, engineering, governance, optimization and ongoing support.What You’ll Do<ul><li>Design, build and implement solutions across Microsoft 365, Copilot and Power Platform</li><li>Lead or support end-to-end Microsoft Copilot Studio deployments</li><li>Develop and implement generative AI/Copilot solutions that improve business processes and user experiences</li><li>Build Power Platform solutions while also supporting governance, security, environments and enterprise rollout strategies</li><li>Administer and engineer Microsoft 365 environments, including Teams, SharePoint Online, Exchange Online, Microsoft Purview and Viva</li><li>Develop and maintain governance, security, compliance and adoption strategies</li><li>Automate administrative and operational processes using PowerShell and Microsoft Graph API</li><li>Troubleshoot and optimize Microsoft 365 environments and enterprise solutions</li><li>Create Power BI dashboards and reports to support operational and business needs</li><li>Participate in enterprise modernization, migration and continuous improvement initiatives</li></ul>
2026-10-01T00:00:00Z

.Net/AI Software Engineer (C#/Claude AI/Azure)

Clearwater, Florida
onsite
Permanent / Full Time
100000 - 130000 USD / Yearly
We are looking for a senior-level Full Stack .Net/AI Engineer to join a manufacturing organization in Clearwater, Florida, where collaboration, initiative, and fresh ideas are genuinely encouraged. This role is ideal for someone who thrives in a fast-moving environment and enjoys building scalable software with a strong backend foundation while contributing to modern front-end experiences. You will play a key part in shaping a new processing platform and helping establish technical patterns that support long-term growth. Responsibilities: • Design, build, and enhance backend services and application logic using C# and .NET technologies for high-performance business systems. • Develop and support user-facing features with React and JavaScript, ensuring a seamless connection between front-end functionality and server-side components. • Architect and maintain secure, multi-tier cloud solutions within Azure, applying sound engineering practices for scalability, reliability, and performance. • Manage source control, deployment workflows, and delivery processes using Git, GitHub, and Azure DevOps to support efficient software releases. • Collaborate closely with cross-functional teammates to define technical solutions, review code, and contribute to a highly engaged team culture. • Apply strong web security standards and software design principles throughout the development lifecycle to produce maintainable, resilient applications. • Contribute to AI-enabled solution development by integrating Claude AI capabilities where they add value to product functionality and workflow efficiency. • Support the evolution of processing-related systems and, when applicable, bring domain insight from payroll or similar operational platforms.
2026-09-14T00:00:00Z

Cybersecurity Engineer

Dallas, Texas
onsite
Temporary / Contract
55 - 75 USD / Hourly
CYBERSECURITY ENGINEER SUMMARYAn established organization is seeking a Cybersecurity Engineer to strengthen the security posture of enterprise systems and infrastructure. This role will focus on threat detection, vulnerability management, incident response, and security architecture initiatives. POSITION TITLE: Cybersecurity EngineerLOCATION: Dallas-Fort Worth, TX (Hybrid)SALARY: $115,000 - $155,000 RESPONSIBILITIES<ul><li>Implement and maintain security controls across servers, endpoints, cloud environments, and networks.</li><li>Investigate security alerts and support incident response activities.</li><li>Perform vulnerability assessments and coordinate remediation efforts.</li><li>Support security monitoring through SIEM and endpoint detection platforms.</li><li>Assist with security architecture reviews and compliance initiatives.</li></ul>
2026-09-29T00:00:00Z

Cybersecurity Engineer

Jacksonville, Florida
onsite
Temporary / Contract
0 - 0 USD / Yearly
We are looking for a Cybersecurity Engineer to strengthen our security posture through threat detection, incident response, vulnerability management, and cloud security initiatives.Responsibilities<ul><li>Monitor and respond to security events</li><li>Administer SIEM and EDR platforms</li><li>Conduct vulnerability assessments and remediation tracking</li><li>Secure cloud environments and identity systems</li><li>Perform incident investigations and root-cause analysis</li><li>Support compliance initiatives and audits</li></ul>
2026-09-18T00:00:00Z

Cybersecurity Engineer

Nashville, Tennessee
onsite
Temporary / Contract
60 - 72 USD / Hourly
Robert Half is seeking a skilled Cybersecurity Engineer to join our client's IT security team. In this role, you will be responsible for designing, implementing, and maintaining security solutions that protect the organization's networks, systems, applications, and data. The ideal candidate will have experience with security architecture, threat prevention, incident response, vulnerability management, and cloud security.This contract opportunity offers the chance to work on critical cybersecurity initiatives while helping strengthen the organization's overall security posture. Key Responsibilities<ul><li>Security Infrastructure: Design, implement, and maintain security technologies including firewalls, intrusion detection/prevention systems (IDS/IPS), endpoint protection, VPNs, and web security solutions.</li><li>Threat Detection & Response: Monitor security alerts, investigate incidents, perform root cause analysis, and implement corrective actions.</li><li>Vulnerability Management: Conduct vulnerability assessments, security audits, penetration testing coordination, and remediation activities.</li><li>Cloud Security: Secure cloud environments including Microsoft Azure, AWS, or Google Cloud Platform by implementing best practices and security controls.</li><li>Security Architecture: Assist in designing secure network, server, and application architectures to reduce organizational risk.</li><li>Identity & Access Management: Support access control initiatives, privileged access management, multi-factor authentication, and identity governance processes.</li><li>Compliance & Governance: Ensure security controls align with regulatory requirements and industry standards such as NIST, ISO 27001, HIPAA, PCI-DSS, and SOC 2.</li><li>Security Automation: Develop and maintain automation scripts and tools to improve security monitoring, threat detection, and response capabilities.</li><li>Documentation: Create and maintain security policies, procedures, standards, and technical documentation.</li><li>Collaboration: Work closely with IT, infrastructure, development, and business teams to integrate security into technology initiatives.</li></ul>
2026-09-22T00:00:00Z

Agent Platform Engineer

Menlo Park, California
onsite
Permanent / Full Time
200000 - 300000 USD / Yearly
Agent Platform Engineer Company OverviewA leading artificial intelligence and advanced analytics organization is seeking an Agent Platform Engineer to help develop next-generation AI orchestration and decision-support platforms. Based in Los Angeles, California, the company specializes in integrating complex data sources into scalable intelligence solutions that support mission-critical operations, advanced analytics, and organizational workflows. This is an opportunity to work on cutting-edge AI technologies within a highly collaborative and innovative engineering environment. Role SummaryThe Agent Platform Engineer will design, build, and optimize enterprise-grade AI platforms that connect structured and unstructured data, knowledge graphs, retrieval systems, and intelligent workflows. This hands-on role focuses on developing production-ready AI applications, agent frameworks, workflow orchestration systems, retrieval pipelines, and model-serving infrastructure. 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>Additional Details<ul><li>Fully onsite 5 days per week</li><li>Individual contributor role with substantial technical ownership</li><li>Opportunity to work on advanced AI, automation, retrieval, and knowledge graph technologies</li><li>Staff-level candidates may provide technical leadership, mentorship, and architecture guidance</li><li>Candidates must be authorized to work in the United States and satisfy applicable regulatory employment requirements</li></ul>
2026-09-24T00:00:00Z

Agent Platform Engineer

Los Angeles, California
onsite
Permanent / Full Time
200000 - 300000 USD / Yearly
Software Engineer Company OverviewA leading artificial intelligence and advanced analytics organization is seeking an Software Engineer to help develop next-generation AI orchestration and decision-support platforms. Based in Los Angeles, California, the company specializes in integrating complex data sources into scalable intelligence solutions that support mission-critical operations, advanced analytics, and organizational workflows. 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. This hands-on role focuses on developing production-ready AI applications, agent frameworks, workflow orchestration systems, retrieval pipelines, and model-serving infrastructure. 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>Additional Details<ul><li>Fully onsite 5 days per week</li><li>Individual contributor role with substantial technical ownership</li><li>Opportunity to work on advanced AI, automation, retrieval, and knowledge graph technologies</li><li>Staff-level candidates may provide technical leadership, mentorship, and architecture guidance</li><li>Candidates must be authorized to work in the United States and satisfy applicable regulatory employment requirements</li></ul>
2026-09-24T00:00:00Z

Senior Data Engineer

Houston, Texas
onsite
Permanent / Full Time
140000 - 160000 USD / Yearly
We are looking for an experienced Senior Data Engineer to help design and enhance scalable data platforms that support critical business operations in Houston, Texas. This role is ideal for someone who enjoys building reliable pipelines, improving data accessibility, and working with modern big data technologies in a service-focused environment. The successful candidate will play a key role in shaping data architecture, enabling analytics, and maintaining high standards for performance, quality, and governance. Responsibilities: • Design, build, and optimize large-scale data pipelines that collect, transform, and deliver data from multiple sources. • Develop robust ETL workflows using Python and Spark to support reporting, analytics, and operational data needs. • Implement and maintain data solutions across distributed processing environments, including Hadoop and Azure Databricks. • Create streaming and batch data integrations using Kafka and related technologies to ensure timely and dependable data movement. • Collaborate with analysts, engineers, and business stakeholders to translate requirements into scalable technical solutions. • Monitor pipeline performance, troubleshoot data issues, and apply improvements that increase reliability and efficiency. • Establish data quality controls, validation processes, and documentation to support governance and long-term maintainability. • Contribute to platform enhancements and technical initiatives, including changes to data infrastructure or internal processing frameworks when needed.
2026-10-01T00:00:00Z

Principal Data Engineer

Avon, Minnesota
onsite
Permanent / Full Time
130000 - 190000 USD / Yearly
We are looking for a Principal Data Engineer to shape and lead a modern enterprise data platform serving multiple business lines. This position will define the architectural direction for a Microsoft Fabric-based environment, guide engineering best practices, and partner closely with data and IT leaders to support long-term growth. The role is ideal for a senior technical expert who combines deep hands-on engineering capability with strong mentorship and platform strategy experience. Responsibilities:• Lead the design and ongoing evolution of a Microsoft Fabric lakehouse environment, establishing a scalable architecture across raw, refined, and curated data layers.• Create and support robust data integration workflows that bring information together from more than 30 enterprise applications and operational platforms.• Set technical standards for data engineering, including coding practices, solution design patterns, documentation, and review processes.• Mentor data engineers through hands-on coaching, collaborative development, and detailed code feedback to strengthen team capability.• Partner with data and IT leadership to align platform architecture with business priorities and future expansion needs.• Develop high-quality data pipelines using modern tools and frameworks such as SQL, Python, Spark, and PySpark within cloud-based data ecosystems.• Evaluate new technologies, architectural approaches, and data platform trends, then provide informed recommendations for adoption.• Support governance and platform reliability by promoting strong lineage, quality, performance, and scalable engineering practices.• Contribute to cross-platform interoperability initiatives, including environments that may involve Databricks, governance tooling, and enterprise data services.
2026-09-10T00:00:00Z

Principal Data Engineer

Des Moines, Iowa
remote
Permanent / Full Time
225000 - 300000 USD / Yearly
Position: Principal Data Engineer | Direct Hire Permanent Location: Remote Salary: $225,000 - 300,000 base plus bonus potential *** For immediate and confidential consideration, please send a message to MEREDITH CARLE on LinkedIn or send an email to me with your resume. My email can be found on my LinkedIn page. *** Build the data foundation that powers analytics, AI, and enterprise decision-making. We’re hiring a Principal Data Engineer to design and deliver a modern, scalable data platform from the ground up. This is a high-impact, hands-on role where you’ll lead architecture decisions, build production-grade pipelines, and enable secure, multi-tenant data capabilities that support everything from reporting to advanced AI use cases. What You’ll Own • Design and build a modern data platform across ingestion, transformation, storage, and consumption • Develop scalable batch and real-time pipelines across diverse data sources (relational, event, document) • Establish data architecture standards, modeling practices, and engineering frameworks • Create secure, multi-tenant data environments with strong governance and access controls • Build data models and serving layers for reporting, self-service analytics, and AI workloads • Evaluate and implement cloud data technologies for performance, cost, and scalability • Partner with engineering and business leaders to align data strategy with company priorities • Guide vendors and external partners while enforcing internal data standards and quality What You Bring • 10+ years of experience in data engineering, including large-scale architecture ownership • Strong programming skills in Python and experience with tools like Spark, Kafka, or similar • Expertise building batch and streaming pipelines in cloud environments (AWS preferred) • Deep knowledge of data modeling for both transactional and analytical systems • Hands-on experience with Snowflake, Redshift, or modern data platforms • Strong understanding of data governance, privacy, and secure data design • Experience with ETL frameworks, testing, and CI/CD-driven data workflows • Ability to clearly communicate technical strategy and tradeoffs to senior stakeholders Why This Role • Architect and build a next-generation data platform from foundational level • Direct impact on analytics, product insights, and AI capabilities • High ownership, visibility, and influence across engineering and leadership • Opportunity to define standards, tooling, and long-term data strategy If you’re a hands-on data engineer who enjoys building scalable platforms and shaping how data is leveraged across an organization, this is a high-impact opportunity to lead from the front.
2026-09-23T00:00:00Z

Principal Data Engineer

Des Moines, Iowa
remote
Permanent / Full Time
180000 - 225000 USD / Yearly
Position: Principal Data Engineer | Direct Hire Permanent Location: Remote Salary: $180,000 - $225,000 base plus SIGNIFICANT bonus and or equity potential *** For immediate and confidential consideration, please send a message to MEREDITH CARLE on LinkedIn or send an email to me with your resume. My email can be found on my LinkedIn page. *** Build the data foundation that powers analytics, AI, and enterprise decision-making. We’re hiring a Principal Data Engineer to design and deliver a modern, scalable data platform from the ground up. This is a high-impact, hands-on role where you’ll lead architecture decisions, build production-grade pipelines, and enable secure, multi-tenant data capabilities that support everything from reporting to advanced AI use cases. What You’ll Own • Design and build a modern data platform across ingestion, transformation, storage, and consumption • Develop scalable batch and real-time pipelines across diverse data sources (relational, event, document) • Establish data architecture standards, modeling practices, and engineering frameworks • Create secure, multi-tenant data environments with strong governance and access controls • Build data models and serving layers for reporting, self-service analytics, and AI workloads • Evaluate and implement cloud data technologies for performance, cost, and scalability • Partner with engineering and business leaders to align data strategy with company priorities • Guide vendors and external partners while enforcing internal data standards and quality What You Bring • 10+ years of experience in data engineering, including large-scale architecture ownership • Strong programming skills in Python and experience with tools like Spark, Kafka, or similar • Expertise building batch and streaming pipelines in cloud environments (AWS preferred) • Deep knowledge of data modeling for both transactional and analytical systems • Hands-on experience with Snowflake, Redshift, or modern data platforms • Strong understanding of data governance, privacy, and secure data design • Experience with ETL frameworks, testing, and CI/CD-driven data workflows • Ability to clearly communicate technical strategy and tradeoffs to senior stakeholders Why This Role • Architect and build a next-generation data platform from foundational level • Direct impact on analytics, product insights, and AI capabilities • High ownership, visibility, and influence across engineering and leadership • Opportunity to define standards, tooling, and long-term data strategy If you’re a hands-on data engineer who enjoys building scalable platforms and shaping how data is leveraged across an organization, this is a high-impact opportunity to lead from the front. *** For immediate and confidential consideration, please send a message to MEREDITH CARLE on LinkedIn or send an email to me with your resume. My email can be found on my LinkedIn page. Also, you may contact me by office: 515-303-4654 or mobile: 515-771-8142. Or one click apply on our Robert Half website. No third party inquiries please. Our client cannot provide sponsorship and cannot hire C2C. ***
2026-09-23T00:00:00Z

Computer Vision Engineer

Cambridge, Massachusetts
onsite
Permanent / Full Time
130000 - 160000 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.
2026-09-21T00:00:00Z

Back End Engineer

Bryan, Texas
remote
Temporary / Contract
55.4135 - 64.163 USD / Hourly
We are looking for a Back End Engineer to join a long-term contract opportunity in Texas. In this role, you will create reliable backend systems and data processing solutions that support analytics and engineering initiatives while helping shape scalable platform architecture. You will work closely with technical and cross-functional partners to turn complex requirements into maintainable services, with a strong focus on cloud deployment, performance, and code quality. Responsibilities: • Create and deliver backend services, APIs, and data workflows that support analytics and broader engineering operations. • Guide technical decisions for backend compute architecture, including the assessment and implementation of Palantir Foundry Compute Modules and container-based cloud platforms such as Fargate. • Develop, package, and support backend applications and microservices using Docker, emphasizing readable, testable, and maintainable code. • Partner with data, product, and engineering stakeholders to convert business and mission needs into efficient technical solutions. • Set up and improve CI/CD processes, automated releases, and monitoring practices across cloud and platform environments. • Produce and maintain technical documentation, system design artifacts, and interface specifications to support development and operations. • Contribute to Agile delivery activities such as sprint planning, daily team syncs, backlog refinement, and solution demonstrations. • Investigate and resolve application issues, integration challenges, and system performance concerns with minimal supervision. • Provide technical guidance to entry-level and mid-level team members and share best practices with project teams as needed.
2026-09-30T00:00:00Z

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