<p>We are looking for a Data Engineer to support data-driven initiatives for a services environment in Southern California. This Long-term Contract position focuses on building reliable data pipelines, improving data availability, and enabling scalable processing for analytics and operational needs. The ideal candidate brings strong hands-on experience with modern data engineering tools and can work across large data sets with accuracy and efficiency.</p><p><br></p><p><strong>Role :</strong></p><ul><li>Design, develop, maintain, and optimize business intelligence solutions, ETL workflows, reporting systems, and data integration processes.</li><li>Collaborate with business, analytics, and technical teams to gather requirements and deliver reporting and analytics solutions.</li><li>Develop and maintain data models, SQL scripts, stored procedures, dashboards, and reporting solutions.</li><li>Build, optimize, and support ETL pipelines across on-premises and cloud environments.</li><li>Troubleshoot and resolve complex reporting, data quality, performance, and integration issues.</li><li>Validate reporting logic, data transformations, and reporting accuracy.</li><li>Perform performance tuning for SQL queries, stored procedures, ETL workflows, and reporting platforms.</li><li>Participate in architecture discussions and provide technical recommendations aligned with business objectives.</li><li>Create and maintain technical documentation including solution designs, data mappings, and operational procedures.</li><li>Participate in code reviews and enforce development, reporting, and data governance standards.</li><li>Mentor junior developers through technical guidance and knowledge-sharing activities.</li><li>Support Agile delivery activities including sprint planning, backlog refinement, and project execution.</li><li>Collaborate with stakeholders and leadership teams to support business intelligence initiatives.</li><li>Drive continuous improvement initiatives related to reporting quality, analytics performance, and operational efficiency.</li></ul><p><br></p><p><br></p><p><br></p>
<p>We are looking for a Software Engineering Manager to lead a product-focused engineering team. This contract opportunity with potential for a permanent role is ideal for a leader who can guide technical delivery, strengthen platform stability, and partner across product, architecture, security, data, quality, and operations to support business goals. The role combines people leadership, Agile execution, and operational oversight to help deliver dependable, scalable software solutions.</p><p><br></p><p>Responsibilities:</p><p>• Lead the engineering team through Agile ceremonies and delivery planning, ensuring work is organized, prioritized, and executed effectively.</p><p>• Develop team capability by providing coaching, feedback, and support that helps engineers grow in both technical and workplace areas.</p><p>• Build a collaborative and accountable team environment focused on quality, continuous improvement, and strong execution.</p><p>• Work closely with product and architecture partners to shape technical plans and translate business priorities into actionable engineering initiatives.</p><p>• Guide the adoption of modern development practices, including CI/CD pipelines, automated testing, and disciplined software delivery methods.</p><p>• Oversee software release activities by confirming appropriate testing, deployment controls, and validation steps are in place.</p><p>• Monitor application and platform performance in production, addressing recurring issues and improving reliability, scalability, and operational health.</p><p>• Coordinate with cross-functional teams and stakeholders to manage dependencies, communicate progress, and align on milestones, risks, and outcomes.</p><p>• Use delivery and operational metrics to improve team effectiveness, software quality, and service dependability.</p><p>• Lead escalated support and incident response efforts to ensure timely resolution and clear communication during production events.</p>
<p><strong>Overview</strong></p><p>The Front-End Developer is responsible for building engaging, responsive, and user‑friendly web interfaces. This role works closely with designers, product managers, and backend engineers to translate UI/UX designs into high‑quality code. The ideal candidate is highly proficient in modern front‑end frameworks, follows best practices, and is passionate about delivering seamless experiences across devices and platforms.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Develop, test, and maintain responsive web interfaces using HTML, CSS, and JavaScript.</li><li>Implement front‑end features using modern frameworks such as React, Angular, or Vue (based on company stack).</li><li>Collaborate with UI/UX designers to translate prototypes and wireframes into functional digital experiences.</li><li>Optimize applications for performance, scalability, accessibility, and cross‑browser compatibility.</li><li>Create reusable components, patterns, and front‑end architecture that support scalability.</li><li>Troubleshoot and debug UI issues and improve user experience.</li><li>Integrate front‑end components with backend APIs and services.</li><li>Maintain version control and follow established code review processes (Git, GitHub, GitLab, Bitbucket).</li><li>Stay up to date on best practices, new technologies, and modern web standards.</li><li>Partner with product and engineering teams to ensure technical feasibility and align on project requirements.</li></ul><p><br></p>
<p>We are looking for a Data Engineer to join the client’s User Platforms organization. This role will be responsible for building and scaling the data foundation that powers experimentation, causal analysis, product optimization, and decision-making across Disney+, Hulu, ESPN+, and other streaming products.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><p>· Design, develop, and maintain scalable experimentation data platforms supporting A/B testing, geo experiments, feature launches, and product analytics.</p><p>· Build and optimize batch and streaming data pipelines that ingest, transform, validate, and serve large-scale user behavior, product, and engagement datasets.</p><p>· Create reusable experimentation frameworks, datasets, and tooling that enable teams to efficiently define experiments, measure outcomes, and analyze results.</p><p>· Design dimensional models, analytical data products, and feature-ready datasets optimized for analytics, experimentation, and machine learning use cases.</p><p>· Implement automated data quality validation, monitoring, lineage tracking, testing, and governance controls to ensure reliable and trustworthy experiment results.</p><p>· Develop production-ready deployment workflows, CI/CD pipelines, observability solutions, and operational processes for data products and services.</p><p>· Collaborate with Product Managers, Software Engineers, Data Scientists, and Analytics teams to translate business requirements into scalable technical solutions.</p><p>· Drive best practices for data architecture, engineering standards, experimentation methodologies, and platform reliability.</p><p>· Mentor engineers and promote a culture of technical excellence, innovation, experimentation, and continuous improvement.</p>
<p>Robert Half is seeking a Contract .NET Developer to join our client's development team. As a Contract .NET Developer, you will be responsible for designing, developing, and maintaining software solutions using the .NET framework. This role offers an exciting opportunity to work on diverse projects with a reputable organization.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><ol><li><strong>Software Development:</strong> Design, code, test, debug, and document software applications using the .NET framework and related technologies.</li><li><strong>Application Maintenance:</strong> Maintain and enhance existing .NET applications by identifying areas for modification, improvement, and optimization.</li><li><strong>Collaboration:</strong> Work closely with cross-functional teams to gather requirements, analyze needs, and develop software solutions that meet business objectives.</li><li><strong>Database Integration:</strong> Develop and optimize database-related functionalities within applications, ensuring efficient data storage and retrieval.</li><li><strong>Code Reviews and Testing:</strong> Conduct code reviews to ensure code quality, performance, and adherence to coding standards. Perform thorough testing to identify and resolve any issues.</li><li><strong>Documentation:</strong> Create and maintain technical documentation for developed applications, including system designs and user manuals.</li><li><strong>Troubleshooting and Support:</strong> Provide technical support and troubleshooting assistance for developed applications, ensuring smooth operation and addressing user-reported issues.</li></ol><p><br></p>
<p>We are looking for a Site Reliability Engineer to support a greenfield Trade Compliance and Innovation initiative. This role will serve as the primary SRE for one team while partnering closely with another SRE supporting a second team within a geographically distributed team.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><p>· Serve as the primary Site Reliability Engineer supporting Azure-based applications and platforms.</p><p>· Design, build, automate, and maintain cloud infrastructure across development, testing, and production environments.</p><p>· Implement Infrastructure as Code (IaC) solutions using Terraform and other cloud automation tools.</p><p>· Partner with software engineering teams to improve deployment processes, reliability, scalability, and system performance.</p><p>· Support Java and Python-based microservices deployed in Azure environments.</p><p>· Manage and support Azure Container Apps (ACA), Kubernetes, and AKS environments.</p><p>· Implement and support CI/CD pipelines using GitHub and cloud-native deployment tools.</p><p>· Drive operational excellence through automation, monitoring, alerting, logging, and incident response.</p><p>· Research and resolve infrastructure, networking, and platform-related issues across complex systems.</p><p>· Create and maintain infrastructure documentation, architecture diagrams, and operational procedures.</p><p>· Ensure adherence to security standards, resiliency requirements, and infrastructure best practices.</p><p>· Support blue-green deployments, scaling strategies, and non-functional requirements (NFRs).</p>
<p>A leading mortgage company is seeking a talented Application Security Engineer to help secure internally developed applications, APIs, and software delivery processes. This role partners with engineering, architecture, and DevOps teams to embed security throughout the SDLC and strengthen secure-by-design practices. Position is 100% remote and comes with strong company benefits. This is a direct hire position; candidate must be eligible to work in the United States.</p><p><br></p><p>Responsibilities:</p><p>• Perform threat modeling, secure design reviews, and architecture assessments</p><p>• Review SAST, DAST, SCA, and secrets scanning results; support risk-based remediation</p><p>• Help define secure coding standards, guardrails, and security patterns</p><p>• Guide developers on secure coding and vulnerability remediation</p><p>• Support security testing for web, API, and cloud applications</p><p>• Maintain and improve AppSec tools and CI/CD security integrations</p><p>• Deliver developer security training and support audit and compliance efforts.</p>
We are looking for a Software Engineering Manager to guide Salesforce solution delivery while staying actively involved in development work. This position partners with cross-functional teams in Enola, Pennsylvania to create secure, scalable, and high-performing applications that support business goals. The role blends technical leadership, architectural oversight, and team development to ensure reliable enterprise integrations and strong engineering practices.<br><br>Responsibilities:<br>• Lead the design, build, and ongoing enhancement of Salesforce applications using Apex, Lightning Web Components, Visualforce, and related platform tools while contributing directly to code delivery.<br>• Direct technical strategy for Salesforce initiatives by evaluating architecture choices and aligning scalability, security, and performance with organizational priorities.<br>• Provide hands-on leadership across the full software lifecycle, including solution design, development, testing, release coordination, and production support.<br>• Coach and develop engineers through regular feedback, code reviews, and practical guidance that strengthens technical quality and team accountability.<br>• Oversee integration design and support data exchange between Salesforce and connected enterprise systems to maintain consistency and operational reliability.<br>• Work closely with product owners, analysts, administrators, and business stakeholders to turn strategic objectives into effective technical solutions.<br>• Support Agile execution by contributing to sprint planning, backlog refinement, estimation, and delivery tracking for Salesforce development work.<br>• Uphold coding standards, security expectations, and data governance practices across all implementations and releases.<br>• Manage CI/CD activities and coordinate deployments across development, testing, and production environments.<br>• Investigate complex platform issues, improve system performance, and stay current with Salesforce advancements such as Financial Services Cloud, Data 360, and MuleSoft to drive continuous improvement.
We are looking for a Software Developer to create and support business applications built on Microsoft Power Platform in Bethany, Oklahoma. This Long-term Contract position is suited for someone who can turn operational needs into practical, scalable tools that improve workflow efficiency, automate routine tasks, and strengthen access to business data. The role requires close collaboration with stakeholders while delivering reliable applications that connect effectively with enterprise systems.<br><br>Responsibilities:<br>• Create, enhance, and support business solutions using Microsoft Power Apps, including both canvas-based and model-driven applications.<br>• Structure and maintain Dataverse environments by defining tables, relationships, rules, and other core data components that support application performance.<br>• Develop automated processes with Power Automate to reduce manual work and improve consistency across business operations.<br>• Connect Power Platform applications with Microsoft 365, SharePoint, internal databases, APIs, and other business systems to enable smooth data flow.<br>• Work directly with users and business teams to gather requirements, map processes, and convert functional needs into effective technical solutions.<br>• Diagnose application issues, resolve defects, and implement improvements that increase usability, reliability, and overall performance.<br>• Apply sound development standards related to security, access control, data quality, and long-term maintainability.<br>• Prepare clear technical documentation covering application behavior, integrations, workflow logic, and support procedures.
<p><strong>AI Development & Engineering</strong></p><ul><li>Design, develop, and deploy AI-powered applications and intelligent automation solutions.</li><li>Build customized AI agents capable of executing multi-step workflows, retrieving information, and interacting with enterprise systems.</li><li>Integrate large language models (LLMs), including OpenAI, Anthropic Claude, and open-source models, into business applications.</li><li>Develop Retrieval-Augmented Generation (RAG) solutions using vector databases and enterprise knowledge repositories.</li><li>Implement AI solutions using Python, APIs, and modern AI frameworks such as LangChain, LangGraph, and LlamaIndex.</li><li>Evaluate and optimize AI model performance, accuracy, reliability, and cost.</li></ul><p><strong>Automation & Systems Integration</strong></p><ul><li>Identify opportunities to automate repetitive IT and business processes.</li><li>Build AI agents that integrate with enterprise applications, databases, cloud platforms, and internal APIs.</li><li>Develop automation workflows for IT support, infrastructure monitoring, reporting, and operational processes.</li><li>Integrate AI solutions with Microsoft 365, ServiceNow, Salesforce, ERP systems, and other enterprise platforms.</li><li>Partner with infrastructure and cybersecurity teams to ensure secure deployment and operation of AI solutions.</li></ul><p><strong>AI Infrastructure & Deployment</strong></p><ul><li>Deploy AI applications within AWS, Microsoft Azure, or Google Cloud environments.</li><li>Develop scalable APIs and microservices supporting AI applications.</li><li>Implement CI/CD pipelines, containerization, and monitoring for AI workloads.</li><li>Establish safeguards for data privacy, access control, model reliability, and responsible AI usage.</li><li>Monitor AI application performance and troubleshoot production issues.</li></ul><p><strong>Business Collaboration</strong></p><ul><li>Work directly with business leaders to identify AI use cases with measurable ROI.</li><li>Translate business requirements into practical technical solutions.</li><li>Develop proof-of-concept applications and transition successful solutions into production.</li><li>Document AI architecture, workflows, integrations, and operational procedures.</li><li>Provide technical guidance on AI adoption and emerging technologies.</li><li><br></li></ul><p><br></p>
<p><strong>AI Development & Engineering</strong></p><ul><li>Design, develop, and deploy AI-powered applications and intelligent automation solutions.</li><li>Build customized AI agents capable of executing multi-step workflows, retrieving information, and interacting with enterprise systems.</li><li>Integrate large language models (LLMs), including OpenAI, Anthropic Claude, and open-source models, into business applications.</li><li>Develop Retrieval-Augmented Generation (RAG) solutions using vector databases and enterprise knowledge repositories.</li><li>Implement AI solutions using Python, APIs, and modern AI frameworks such as LangChain, LangGraph, and LlamaIndex.</li><li>Evaluate and optimize AI model performance, accuracy, reliability, and cost.</li></ul><p><strong>Automation & Systems Integration</strong></p><ul><li>Identify opportunities to automate repetitive IT and business processes.</li><li>Build AI agents that integrate with enterprise applications, databases, cloud platforms, and internal APIs.</li><li>Develop automation workflows for IT support, infrastructure monitoring, reporting, and operational processes.</li><li>Integrate AI solutions with Microsoft 365, ServiceNow, Salesforce, ERP systems, and other enterprise platforms.</li><li>Partner with infrastructure and cybersecurity teams to ensure secure deployment and operation of AI solutions.</li></ul><p><strong>AI Infrastructure & Deployment</strong></p><ul><li>Deploy AI applications within AWS, Microsoft Azure, or Google Cloud environments.</li><li>Develop scalable APIs and microservices supporting AI applications.</li><li>Implement CI/CD pipelines, containerization, and monitoring for AI workloads.</li><li>Establish safeguards for data privacy, access control, model reliability, and responsible AI usage.</li><li>Monitor AI application performance and troubleshoot production issues.</li></ul><p><strong>Business Collaboration</strong></p><ul><li>Work directly with business leaders to identify AI use cases with measurable ROI.</li><li>Translate business requirements into practical technical solutions.</li><li>Develop proof-of-concept applications and transition successful solutions into production.</li><li>Document AI architecture, workflows, integrations, and operational procedures.</li><li>Provide technical guidance on AI adoption and emerging technologies.</li></ul><p><br></p>
<p>Our client is seeking an experienced <strong>Senior Technical Recruiter</strong> for a 6-month contract engagement. </p><p><br></p><p>This individual will focus primarily on recruiting highly skilled technical talent, including <strong>Principal Software Engineers</strong>, while supporting additional technical hiring needs across the organization. </p><p><br></p><p>The ideal candidate will have experience recruiting within fast-paced technology environments, with <strong>SaaS industry experience strongly preferred</strong>.</p><p><br></p><p>Responsibilities</p><p><br></p><p>Manage full-cycle recruitment for technical positions, with a focus on Principal Software Engineers and other senior-level technical professionals.</p><p><br></p><p>Partner closely with hiring managers to understand hiring needs, technical requirements, and recruitment strategies.</p><p><br></p><p>Source, screen, and assess top technical talent through multiple channels.</p><p><br></p><p>Build and maintain strong talent pipelines for current and future hiring initiatives.</p><p><br></p><p>Coordinate interviews, gather feedback, and manage candidates through the hiring process.</p><p><br></p><p>Provide market intelligence and hiring insights to support recruiting decisions.</p><p><br></p><p>Ensure a positive candidate experience throughout the recruitment lifecycle.</p><p><br></p><p>Support multiple technical requisitions while maintaining quality and efficiency.</p><p><br></p>
<p>We’re hiring a hands-on Staff Software Engineer to lead development in a critical area of AI-enabled product infrastructure. In this role, you will build and evolve the systems that determine what AI-powered experiences can access, use, and reference in real time. This work is central to ensuring outputs are accurate, timely, secure, and grounded in the right information.</p><p><br></p><p>You will focus on designing and improving retrieval and context systems that support intelligent applications operating in complex, high-trust environments. That includes helping systems identify the right content, manage changing information, and enforce strict access boundaries. You’ll work primarily in Python and collaborate closely with cross-functional partners in product, data, and engineering.</p><p>This is a highly hands-on role for someone who wants to directly influence the architecture, quality, and safety of AI-driven capabilities.</p><p><br></p><p>What You’ll Do</p><ul><li>Lead the design and improvement of retrieval systems that support AI-powered workflows in production environments</li><li>Ensure application outputs are grounded in the right source material, with the appropriate balance of quality, performance, and cost</li><li>Build systems that can process and reason over large volumes of unstructured and structured content</li><li>Develop search and context tools that surface trustworthy source excerpts, references, and relevant content locations</li><li>Maintain alignment between what AI systems can access and what end users are authorized to view</li><li>Help define when AI-generated outputs can be delivered directly and when additional validation or product controls are required</li><li>Influence technical direction across teams and mentor engineers working in adjacent problem spaces</li></ul><p><br></p>
<p>We are seeking an experienced <strong>AI Engineer</strong> to join a growing technology team focused on building intelligent, scalable, and cloud-native applications. This role is ideal for a hands-on engineer who combines strong <strong>.NET full-stack development experience</strong> with expertise in <strong>Microsoft Azure</strong> and modern <strong>AI technologies</strong>, including Large Language Models (LLMs), Generative AI, and AI-powered automation solutions.</p><p>You will play a key role in designing, developing, and deploying next-generation applications that leverage artificial intelligence to improve business operations, customer experiences, and decision-making.</p><p>Responsibilities</p><ul><li>Design, develop, and deploy AI-powered applications using Azure services and modern AI frameworks.</li><li>Build and integrate Generative AI solutions utilizing Large Language Models (LLMs), Retrieval Augmented Generation (RAG), and conversational AI technologies.</li><li>Develop scalable backend services utilizing <strong>C#</strong>, <strong>.NET Core</strong>, APIs, and microservices architectures.</li><li>Build modern front-end applications using technologies such as <strong>React</strong>, <strong>Angular</strong>, or <strong>Blazor</strong>.</li><li>Develop AI agents, copilots, chatbots, and workflow automation solutions.</li><li>Integrate Azure AI services including:</li><li>Azure OpenAI</li><li>Azure Cognitive Services</li><li>Azure AI Search</li><li>Azure Machine Learning</li><li>Design and optimize data pipelines supporting AI and analytics initiatives.</li><li>Collaborate with product, business, and engineering teams to identify AI use cases and technical solutions.</li><li>Implement best practices around security, scalability, monitoring, and performance optimization.</li><li>Participate in architecture discussions, code reviews, and technical leadership activities.</li></ul><p><br></p>
We are looking for a Data Engineer to build and enhance scalable data solutions that support analytics and business decision-making in Jacksonville, Florida. This role focuses on designing reliable warehouse structures, developing efficient data pipelines, and improving data quality across enterprise platforms. The ideal candidate brings strong technical depth in modern data engineering practices and is comfortable partnering with cross-functional teams to deliver well-governed, high-performing data assets.<br><br>Responsibilities:<br>• Design and maintain enterprise data warehouse solutions using dimensional modeling techniques that support reporting, analytics, and long-term scalability.<br>• Develop, orchestrate, and optimize ETL and ELT workflows for batch and near real-time data movement using modern pipeline and scheduling tools.<br>• Build robust data architectures across cloud-based platforms while balancing performance, resilience, and cost efficiency.<br>• Troubleshoot pipeline failures, data inconsistencies, and performance bottlenecks, then implement practical fixes that improve reliability and throughput.<br>• Apply governance standards by supporting data quality controls, metadata practices, lineage visibility, and role-based access management.<br>• Partner with business and technical stakeholders to translate data needs into well-structured solutions and provide clear updates on progress, risks, and delivery timelines.<br>• Create efficient code for data transformation and aggregation using Python and advanced query development techniques.<br>• Integrate data from databases, APIs, streaming platforms, and external sources to support a broad range of analytical use cases.<br>• Mentor team members and contribute ideas that streamline processes, reduce friction, and strengthen engineering best practices.
<p>We are looking for a Data Governance Engineer to support the implementation, administration, and continuous improvement of enterprise data governance capabilities across a modern cloud data platform. This role will work closely with data platform, security, and product teams to translate governance requirements into scalable technical solutions that improve data security, accessibility, quality, and compliance.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><p>· Administer and configure Snowflake security and governance capabilities, including RBAC, dynamic masking, and object tagging.</p><p>· Implement, maintain, and troubleshoot access governance controls within Immuta and other governance platforms.</p><p>· Configure and monitor data quality checks, alerting mechanisms, and governance-related operational processes.</p><p>· Maintain, enrich, and optimize enterprise data catalog content to improve discoverability, classification, and metadata quality.</p><p>· Support the adoption and enhancement of AI-assisted data documentation and description generation tools.</p><p>· Partner with engineering teams to test, validate, and deploy ingest-time data tagging and metadata management solutions.</p><p>· Collaborate with program and product stakeholders to translate governance policies, security requirements, and compliance standards into technical implementations.</p><p>· Support governance operations, incident resolution, root cause analysis, and continuous process improvement initiatives.</p><p>· Participate in evaluations, testing, and implementation of new governance, catalog, quality, and security technologies.</p>
We are looking for an Artificial Intelligence (AI) Engineer to create intelligent applications and production-ready AI services that deliver measurable business value. This role is based in Irvine, California, and blends backend engineering, frontend development, and operational ownership to bring AI capabilities into real-world products. The ideal candidate is comfortable building agent-based workflows, shaping reliable prompt strategies, and partnering with stakeholders to turn complex needs into practical technical solutions.<br><br>Responsibilities:<br>• Create and launch web-based products, AI-enabled services, and multi-step agent workflows that support complex tool interactions and orchestrated decision-making.<br>• Develop and support integrations with leading language model platforms, including capabilities such as streaming responses, prompt optimization, tool invocation, and cached interactions.<br>• Craft, refine, and assess prompts to improve output quality while balancing consistency, safety considerations, and usage cost.<br>• Build Python-based REST APIs and React/TypeScript user interfaces that expose AI functionality in a scalable and user-friendly way.<br>• Manage deployment and operational processes for AI systems, including container builds, automated delivery pipelines, cloud hosting, and runtime observability.<br>• Design and optimize database queries for relational data stores to ensure strong performance and dependable access patterns.<br>• Establish testing approaches for both predictable application logic and variable AI behavior through evaluation harnesses, regression coverage, and automated validation.<br>• Work closely with cross-functional partners to define use cases, align technical choices with business priorities, and deliver effective AI-backed solutions.<br>• Produce and maintain clear technical documentation covering system architecture, prompt strategy, and the expected behavior and limitations of AI agents.
We are looking for an experienced Artificial Intelligence (AI) Engineer to create practical, scalable AI solutions that help improve business performance and streamline operations in Brookfield, Wisconsin. In this role, you will partner with technical teams and business leaders to turn complex challenges into intelligent applications, machine learning systems, and generative AI capabilities. The ideal candidate brings a strong software engineering foundation along with hands-on experience delivering AI solutions in cloud environments.<br><br>Responsibilities:<br>• Build and implement AI, machine learning, and generative AI solutions that address business and operational needs.<br>• Develop intelligent applications such as virtual assistants, chatbot experiences, copilots, and automated workflows.<br>• Train, evaluate, and refine machine learning models to improve performance, reliability, and business impact.<br>• Create and support retrieval-augmented generation solutions and related applications for knowledge-driven use cases.<br>• Work closely with stakeholders to uncover opportunities where AI can enhance processes, decision-making, and user experiences.<br>• Connect AI capabilities with enterprise systems and cloud-based platforms to enable practical adoption at scale.<br>• Establish model deployment and support practices, including monitoring, governance, and lifecycle management.<br>• Apply security, compliance, and responsible AI standards throughout solution design, development, and release.<br>• Research new AI tools and technologies and recommend options that align with organizational goals.<br>• Produce clear technical documentation covering solution architecture, workflows, and implementation details.
<p>We are looking for an Associate Developer to join a contract opportunity with the potential to become permanent in St Pete, Florida. This role blends application development with software quality efforts, giving you the chance to support reliable product delivery while building hands-on experience across coding, testing, and Agile collaboration. You will work closely with engineering, quality, and operations partners to identify issues early, strengthen automated test coverage, and contribute to continuous improvement throughout the development lifecycle.</p><p><br></p><p>Responsibilities:</p><p>• Create and enhance automated test scripts using Playwright to improve coverage and support dependable releases.</p><p>• Partner with developers, QA professionals, and DevOps teammates to uncover defects early and drive timely resolution.</p><p>• Perform both manual and automated validation during sprint cycles, including functional and regression testing activities.</p><p>• Investigate reported issues by reproducing defects, analyzing root causes, and recording clear findings for the team.</p><p>• Maintain thorough testing documentation, including test scenarios, execution outcomes, bug details, and reproduction steps.</p><p>• Contribute to Agile team routines such as sprint planning, daily stand-ups, and other delivery-focused meetings.</p><p>• Use AI-assisted tools such as Claude Code to help generate test cases and increase testing efficiency.</p><p>• Support the team's shift toward stronger automated testing practices and test-driven development approaches.</p><p>• Assist with software fixes and development tasks as technical skills expand over time.</p>
We are looking for an experienced Mobile Developer to create and support Android-based payment applications in Jacksonville, Florida. This position focuses on building dependable, secure mobile solutions that connect with payment devices and related hardware while delivering a strong user experience. The role works closely with cross-functional teams to develop production-ready software, resolve technical issues, and contribute to ongoing product improvement.<br><br>Responsibilities:<br>• Build, enhance, and maintain Android payment applications from initial development through testing, deployment, and ongoing support.<br>• Develop application functionality using Java and Kotlin within the Android ecosystem, incorporating specialized payment software libraries as needed.<br>• Connect mobile applications with payment-related hardware such as card readers, input devices, printers, scanners, and other supported peripherals.<br>• Partner with product, quality assurance, design, and engineering teams to deliver well-designed features and reliable releases.<br>• Investigate software issues, identify root causes, and implement effective fixes to improve stability and performance.<br>• Prepare and update technical documentation to support development, troubleshooting, and long-term maintenance.<br>• Apply best practices to ensure applications meet expectations for security, scalability, reliability, and maintainability.<br>• Contribute to timely delivery of high-quality software by supporting continuous improvement in performance and user experience.
<p><strong>.NET Developer</strong></p><p>We are seeking a talented <strong>.NET Developer</strong> to design, build, and support applications using C# and the Microsoft development stack. This role is ideal for someone who enjoys writing clean code, solving complex problems, and collaborating with cross-functional teams. The ideal candidate will have strong software engineering fundamentals and experience building applications in .NET environments.</p><p><strong>Responsibilities</strong></p><ul><li>Develop applications using .NET Core, .NET Framework, C#, and related Microsoft technologies</li><li>Build APIs, web services, and backend components</li><li>Collaborate with front-end developers, database engineers, and QA teams</li><li>Write clean, maintainable code following best practices and coding standards</li><li>Participate in design sessions, code reviews, and architecture discussions</li><li>Troubleshoot application issues, performance problems, and integration errors</li><li>Deploy applications using CI/CD pipelines (Azure DevOps, GitHub Actions, Jenkins)</li><li>Create and maintain technical documentation for applications and services</li><li>Refactor existing codebases for performance, optimization, or modernization</li></ul><p><br></p>
<p>Robert Half is hiring! We are looking for an Artificial Intelligence (AI) Engineer to join our team. This position focuses on building intelligent applications and scalable software systems that support advanced AI-driven products in the real estate and property industry. The ideal candidate brings deep engineering expertise across modern backend development, API design, front-end integration, and agent-based AI architecture. You will play a key role in shaping production-ready AI solutions that are reliable, secure, and aligned with business goals.</p><p><br></p><p>Responsibilities:</p><p>• Lead full lifecycle development of AI-enabled products, from technical planning and architecture through deployment and ongoing improvement.</p><p>• Design and deliver agent-based AI solutions that support reasoning, multi-step execution, tool usage, memory handling, and workflow orchestration.</p><p>• Build, test, and maintain scalable backend applications and services using Python frameworks such as Django, Flask, or FastAPI, or Node.js frameworks such as Express or NestJS.</p><p>• Create and support RESTful and GraphQL interfaces that connect web applications, internal platforms, databases, and external tools.</p><p>• Develop React-based user interfaces and ensure smooth interaction between front-end components and backend services.</p><p>• Architect microservices and distributed application patterns that improve scalability, resilience, and maintainability.</p><p>• Improve system efficiency by tuning application performance, refining database usage, and managing cloud resources effectively.</p><p>• Apply strong security practices across authentication, authorization, deployment, and production operations while supporting CI/CD pipelines and containerized environments.</p><p>• Establish monitoring, tracing, evaluation, and debugging practices for AI systems in production, and resolve issues across cloud-based environments.</p><p>• Partner with product, design, DevOps, data, and engineering teams while providing technical guidance on AI platform strategy and engineering standards.</p>
<p>Robert Half is hiring! We are looking for an Artificial Intelligence (AI) Engineer to join a growing team. This position focuses on building intelligent, production-ready applications that combine modern software engineering with advanced agent-based AI capabilities. The ideal candidate will lead solutions from early design through deployment, creating scalable services, responsive user experiences, and reliable AI-driven workflows that support business objectives.</p><p><br></p><p>Responsibilities:</p><p>• Lead the full product development lifecycle for AI-powered applications, from solution design and architecture through testing, deployment, and ongoing improvement.</p><p>• Create and support backend platforms using Python or Node.js, delivering scalable services and well-structured APIs for web and AI-based systems.</p><p>• Build and refine React-based user interfaces that connect smoothly with backend services and provide a consistent application experience.</p><p>• Design distributed architectures, including microservices and agent orchestration patterns, to support complex reasoning, tool usage, memory, and multi-step execution.</p><p>• Integrate large language models with business systems, external tools, databases, and enterprise applications to enable practical automation and decision support.</p><p>• Improve performance across applications by tuning services, optimizing database interactions, and managing efficient use of cloud infrastructure.</p><p>• Establish secure engineering practices by implementing authentication, access controls, and reliable approaches to privacy, testing, and system protection.</p><p>• Oversee containerized deployments and continuous delivery workflows using Docker and related DevOps tooling, while resolving issues in production cloud environments.</p><p>• Define evaluation, monitoring, and tracing methods that measure AI agent quality, cost, latency, safety, and overall operational reliability.</p><p>• Partner with cross-functional stakeholders and provide technical guidance to engineers contributing to agentic AI initiatives and platform development.</p>
Position: Adobe Experience Manager (AEM) Developer<br>Location: Kansas City, MO -- Onsite<br>Salary: $100,000 - $115,000 base + excellent benefits<br><br>*** For immediate and confidential consideration, please APPLY and EMAIL YOUR RESUME to MEREDITH CARLE . My email can be found on my LinkedIn page. ***<br><br>Ready to build modern digital experiences that impact thousands of users?<br> <br>We're partnering with a well-established, privately held organization seeking an AEM Full-Stack Developer to join its growing technology team. This is an opportunity to work on high-visibility web and digital experience initiatives while helping drive innovation across a stable, financially strong business.<br> <br>What You'll Do<br> · Design, build, and enhance solutions within Adobe Experience Manager (AEM)<br> • Develop AEM components, templates, workflows, and Sling Models<br> • Create and integrate REST APIs and GraphQL services<br> • Collaborate with business stakeholders to transform requirements into technical solutions<br> • Troubleshoot complex issues and contribute to ongoing platform improvements<br> • Participate in Agile/Scrum development activities and project planning<br>What We're Looking For<br> • 3+ years of hands-on AEM Full-Stack Development experience<br> • Strong Java development skills<br> • Experience with Sling Models, OSGi, and front-end integration<br> • Knowledge of REST APIs, GraphQL, and Postman<br> • Strong communication, problem-solving, and collaboration skills<br>Nice to Have<br> • .NET / C#<br> • SQL<br> • JavaScript, HTML, and CSS<br>Why Consider This Opportunity?<br> • Competitive compensation<br> • 100% employer-paid employee medical coverage<br> • 401(k) with company match<br> • Stable, established organization with long-term growth<br> • Opportunity to join a team investing in technology and expanding development capacity<br> <br>If you're an AEM developer looking for a highly visible role where your contributions will directly influence key digital initiatives, we'd love to connect.<br><br><br>*** 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. ***
We are looking for an AI Engineer to create practical, employee-facing applications that improve how internal teams find information, complete work, and make decisions. This role partners closely with business stakeholders to uncover operational challenges, shape effective solutions, and deliver reliable tools from concept through production support. The ideal candidate brings strong engineering depth, sound product judgment, and hands-on experience building applied AI systems that drive measurable efficiency and adoption.<br><br>Responsibilities:<br>• Partner with business leaders and end users to map workflows, identify inefficiencies, and define high-value AI solutions for internal operations.<br>• Design, build, and deploy AI-powered applications in Python using model APIs, orchestration frameworks, and enterprise-ready software practices.<br>• Develop retrieval-based experiences that enable users to search, analyze, and ask questions across internal documents and structured data sources.<br>• Create end-to-end automated processes that connect language models with business platforms, data systems, and human review checkpoints where needed.<br>• Architect agent-driven or multi-step AI solutions with clearly defined roles, secure permissions, and dependable coordination between components.<br>• Strengthen application quality through thoughtful testing, monitoring, documentation, deployment standards, and ongoing performance improvements.<br>• Assess model behavior for factual quality, consistency, traceability to source material, and usefulness in real business scenarios.<br>• Build intuitive user interfaces that allow employees to interact with AI tools easily without requiring technical expertise.<br>• Manage post-launch ownership by resolving issues, incorporating user feedback, and delivering enhancements that improve reliability and adoption.<br>• Present technical decisions, tradeoffs, and business impact clearly to both technical teams and non-technical stakeholders.