We are looking for a QA Test Automation Analyst to strengthen software quality efforts for web-based applications. This contract opportunity is ideal for someone who enjoys building reliable automated testing frameworks, partnering with cross-functional teams, and helping deliver stable releases in a fast-paced development environment. The role centers on test automation with Playwright while supporting broader validation across user interfaces, integrations, and application workflows.<br><br>Responsibilities:<br>• Create, enhance, and support automated test coverage for web applications using Playwright.<br>• Perform testing across functional, regression, integration, and end-to-end scenarios to confirm application stability.<br>• Investigate issues, record defects clearly, and follow them through resolution with the appropriate teams.<br>• Embed automated test execution into continuous integration and delivery workflows to improve release confidence.<br>• Work closely with developers, product stakeholders, and QA partners to raise quality standards throughout the development lifecycle.<br>• Verify system behavior in hosted environments to ensure applications operate as expected under real deployment conditions.<br>• Contribute to API validation efforts and help confirm reliable communication between application components.
We are looking for a Software QA Test Engineer to join a semiconductor equipment team in Fort Washington, Pennsylvania on a contract basis with the potential for a permanent role. In this role, you will help verify the performance, stability, and reliability of complex software that supports precision equipment, working closely with engineering and cross-functional partners in an Agile environment. The position offers hands-on involvement with both simulated platforms and production hardware while contributing to high-quality releases for advanced automation systems.<br><br>Responsibilities:<br>• Create and maintain comprehensive test strategies, detailed test cases, and execution scripts for software used in real-time equipment control.<br>• Partner with developers, systems engineers, and distributed team members to clarify requirements and confirm test readiness for new functionality.<br>• Conduct functional, integration, end-to-end, and regression testing to evaluate software behavior across multiple operating scenarios.<br>• Record, prioritize, and follow software defects through resolution using established issue-tracking practices and tools.<br>• Build and enhance automated validation routines in Python to improve repeatability and broaden system-level test coverage.<br>• Assess software performance in simulation environments as well as on physical semiconductor manufacturing equipment.<br>• Assist with equipment demonstrations, qualification activities, and customer acceptance events by validating system operation and issue resolution.<br>• Analyze unexpected system behavior, isolate root causes, and collaborate with development teams to drive effective fixes.<br>• Recommend and implement improvements to QA workflows, testing tools, and overall coverage to strengthen product quality.
<p>We are looking for a skilled Automation Engineer to join our dynamic team in Torrington, Connecticut. In this role, you will play a pivotal part in advancing our infrastructure through automation, ensuring seamless operations and enhanced reliability. You will have the opportunity to work on cutting-edge technologies and contribute to modernizing our systems.</p>
<p>The Automation Process Engineer is responsible for designing, implementing, and optimizing automated manufacturing processes within a high-volume electronics assembly environment. This role focuses on improving efficiency, product quality, and system reliability through robotics, equipment integration, and continuous improvement initiatives.</p><p><br></p><p>This individual will lead automation projects end-to-end—from equipment selection and implementation to process optimization—while partnering cross-functionally with engineering, production, and controls teams.</p><p><strong> </strong></p><p><strong>Key Responsibilities:</strong></p><p><strong>Automation & Equipment Engineering</strong></p><ul><li>Design, program, commission, and troubleshoot robotic and automated assembly systems (e.g., Techman, Epson, Yaskawa).</li><li>Lead the evaluation, selection, procurement, and qualification of automation equipment.</li><li>Oversee integration of robotics, material handling systems, and assembly equipment into production processes.</li><li>Partner with controls engineers to integrate PLCs, HMIs, SCADA, and MES systems.</li></ul><p><strong>Process Optimization & Continuous Improvement</strong></p><ul><li>Drive improvements in throughput, quality, and reliability across manufacturing operations.</li><li>Conduct root cause analysis (RCA) and implement corrective actions to resolve production issues.</li><li>Lead Lean Manufacturing and Six Sigma initiatives, including DOE and process optimization efforts.</li><li>Develop and implement process control measures and performance metrics.</li><li>Identify cost-saving opportunities and lead cost-reduction initiatives.</li></ul><p><strong>Maintenance & Reliability</strong></p><ul><li>Establish and improve preventive and predictive maintenance programs.</li><li>Reduce equipment downtime and improve overall system performance.</li><li>Troubleshoot complex manufacturing and automation issues.</li></ul><p><strong>Project Leadership</strong></p><ul><li>Lead automation and process improvement projects from concept through implementation.</li><li>Collaborate with product development teams to support new product introduction (NPI) and improve manufacturability.</li><li>Document processes, workflows, and system capabilities.</li></ul>
<p>Robert Half is seeking an innovative <strong>AI Software Engineer</strong> to join our client's technology team. In this role, you will design, develop, and deploy AI-powered applications and services that leverage machine learning, large language models (LLMs), and modern cloud technologies. The ideal candidate combines strong software engineering fundamentals with hands-on experience building and integrating AI solutions into production environments.</p><p>This position offers the opportunity to work on cutting-edge AI initiatives that drive automation, improve business processes, and create intelligent user experiences.</p><p><br></p><p>Key Responsibilities</p><ul><li><strong>AI Application Development:</strong> Design, build, and maintain AI-powered applications, APIs, and services using modern software development practices.</li><li><strong>LLM Integration:</strong> Develop solutions utilizing large language models (OpenAI, Anthropic, Gemini, Llama, etc.) through APIs, prompt engineering, fine-tuning, and retrieval-augmented generation (RAG) techniques.</li><li><strong>Machine Learning Solutions:</strong> Build, train, evaluate, and deploy machine learning models to solve business challenges.</li><li><strong>Software Engineering:</strong> Develop scalable backend systems and microservices using languages such as Python, C#, Java, or JavaScript/TypeScript.</li><li><strong>Data Processing:</strong> Design data pipelines and workflows for collecting, transforming, and preparing data used in AI applications.</li><li><strong>Cloud Deployment:</strong> Deploy and manage AI workloads within cloud environments including AWS, Azure, or Google Cloud Platform.</li><li><strong>Model Optimization:</strong> Monitor AI system performance, improve model accuracy, optimize inference costs, and implement guardrails for reliability and security.</li><li><strong>Collaboration:</strong> Partner with product managers, data engineers, data scientists, and business stakeholders to deliver AI solutions aligned with organizational goals.</li><li><strong>Documentation:</strong> Create and maintain technical documentation for AI architectures, workflows, APIs, and deployment processes.</li><li><strong>Research & Innovation:</strong> Stay current on emerging AI technologies, frameworks, and industry best practices.</li></ul><p><br></p>
<p>We are seeking an innovative <strong>RCM AI Solutions Engineer</strong> to lead the development and implementation of AI-powered solutions that transform revenue cycle operations. This individual will identify automation opportunities, design intelligent workflows, and deploy AI-driven tools that improve efficiency, accuracy, and decision-making across the revenue cycle lifecycle. </p><p><strong> </strong></p><p><strong>What You'll Do:</strong></p><p><strong>AI Solutions Development</strong></p><ul><li>Design, build, test, and deploy AI-powered tools, agents, and workflows.</li><li>Develop custom prompts and automation solutions that streamline operational processes.</li><li>Integrate AI solutions with healthcare and business systems.</li><li>Evaluate new AI capabilities and recommend innovative applications. </li></ul><p><strong>Revenue Cycle Optimization</strong></p><ul><li>Identify opportunities to automate manual tasks and reduce administrative burden.</li><li>Improve workflows related to: </li><li>Prior Authorizations</li><li>Denial Management</li><li>Claims Follow-Up</li><li>Eligibility & Benefits Verification</li><li>Revenue Cycle Operations</li><li>Measure and monitor performance improvements resulting from AI adoption. </li></ul><p><strong>Cross-Functional Collaboration</strong></p><ul><li>Partner with operational, technology, compliance, finance, and clinical teams to deliver effective solutions.</li><li>Serve as a subject matter expert on AI tools and best practices.</li><li>Train end users and support organizational adoption of AI-powered workflows. </li></ul><p><strong>Governance & Compliance</strong></p><ul><li>Ensure adherence to healthcare regulatory requirements, privacy standards, and responsible AI practices.</li><li>Implement monitoring, quality assurance, and governance processes for AI solutions.</li><li>Maintain documentation and support ongoing optimization efforts. </li></ul>
We are looking for a Quality Assurance Tester to help deliver reliable, high-performing web applications in Columbus, Ohio. This position centers on creating and sustaining automated test coverage with Playwright while partnering closely with engineering and product teams to support dependable releases. The role also includes hands-on validation across multiple test levels, defect reporting, and contributing to quality practices within modern development workflows.<br><br>Responsibilities:<br>• Build, enhance, and support automated test scripts for user interface and API validation using Playwright.<br>• Perform functional, regression, integration, and end-to-end testing to confirm application behavior meets expectations.<br>• Investigate issues uncovered during testing, record defects clearly, and monitor them through resolution.<br>• Embed automated test execution into continuous integration and delivery workflows to improve release confidence.<br>• Work alongside developers and product stakeholders to promote quality throughout the software development lifecycle.<br>• Verify application performance and behavior in hosted environments to ensure stable operation across deployments.<br>• Contribute to test planning, coverage improvements, and ongoing refinement of QA processes for web-based applications.
<p><strong>Overview</strong></p><p>Our client is seeking a Software Validation/Quality Engineer to support the testing and validation of software-driven vehicle systems and embedded technologies. This individual will help ensure software functionality, performance, and reliability meet quality and engineering standards before implementation into production environments.</p><p><br></p><p><strong>Responsibilities</strong></p><ul><li>Develop and execute software validation and verification test plans.</li><li>Perform functional, integration, and system-level testing.</li><li>Document test results and maintain validation records.</li><li>Identify, track, and support resolution of software defects.</li><li>Work closely with engineering teams to troubleshoot issues and improve product quality.</li><li>Support testing activities for vehicle control systems and related technologies.</li><li>Assist with root cause analysis and corrective action efforts.</li></ul><p><strong>*Please note: </strong>This position is fully onsite Monday-Friday in Macon, GA. Please do not apply to this posting if you're not already local to Macon and willing to work onsite.</p>
<p><strong>Lead AI Engineer</strong></p><p><br></p><p><strong>Company Overview</strong></p><p>A leading consumer products and eCommerce organization based in Los Angeles, California is transforming the customer experience through innovation, technology, and data-driven decision-making. The company is focused on building scalable digital solutions that support business growth, operational excellence, and exceptional customer engagement. With a collaborative and forward-thinking culture, the organization empowers teams to solve complex challenges through modern technology and continuous innovation.</p><p><br></p><p><strong>Role Summary</strong></p><p>We are seeking an experienced Lead AI Engineer to drive the strategy, design, development, and deployment of enterprise-scale artificial intelligence solutions. Based in Los Angeles, California, this role will partner closely with business leaders, product teams, and engineering stakeholders to deliver AI-powered applications that create measurable business impact. The ideal candidate combines deep technical expertise with leadership experience and a passion for bringing innovative AI solutions from concept to production.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Lead the architecture, development, and deployment of scalable AI applications and intelligent workflow solutions.</li><li>Partner with business and technical stakeholders to identify opportunities where AI can improve efficiency, decision-making, and customer experiences.</li><li>Design and implement enterprise-grade AI systems with a focus on reliability, security, scalability, and performance.</li><li>Provide technical leadership, mentorship, and best practices guidance to engineering teams working on AI initiatives.</li><li>Develop integrations between AI platforms, cloud services, APIs, and enterprise business systems.</li><li>Establish standards for model evaluation, monitoring, governance, observability, and cost optimization.</li><li>Build and optimize AI-powered applications utilizing modern language models, retrieval systems, and agent-based architectures.</li><li>Contribute to technical roadmaps, architecture reviews, documentation, testing, deployment, and continuous improvement efforts.</li><li>Promote AI-assisted engineering practices that improve software quality, efficiency, and delivery speed.</li></ul><p><strong>Additional Details</strong></p><ul><li>Hybrid work model</li><li>Full-time position</li><li>Opportunity to shape enterprise AI strategy and adoption</li><li>High-visibility role with significant cross-functional collaboration</li><li>Fast-paced, innovative technology environment focused on growth and continuous improvement</li></ul>
<p>We are seeking a <strong>QA Tester</strong> to join a collaborative team focused on delivering high-quality applications and technology solutions. This role is responsible for supporting application testing efforts, executing test plans, identifying defects, and partnering with cross-functional teams to ensure successful project delivery and a seamless user experience.</p><p><br></p><p>This role 100% onsite - available in 3 different locations</p><ul><li>West Palm Beach, FL 33407</li><li>Coral Gables, Fl 33134</li><li>Plantation, FL 33317</li></ul>
<p>We are seeking a detail-oriented QA Analyst with experience in both manual and automated testing to ensure the quality, reliability, and performance of enterprise applications. The ideal candidate will have hands-on experience developing test automation frameworks, validating data across SQL and NoSQL databases, and collaborating with Agile development teams to deliver high-quality software solutions.</p><p><br></p><p>Responsibilities</p><ul><li>Design, develop, and execute comprehensive test plans, test cases, and test scripts for web, mobile, and API-based applications.</li><li>Build and maintain automated test scripts using tools such as Selenium, Playwright, Cypress, TestNG, JUnit, or similar frameworks.</li><li>Perform functional, regression, integration, system, and user acceptance testing (UAT).</li><li>Validate data integrity, accuracy, and performance using SQL databases (SQL Server, Oracle, MySQL, PostgreSQL) and NoSQL databases (MongoDB, Cassandra, DynamoDB, Couchbase, etc.).</li><li>Execute API testing using tools such as Postman, SoapUI, Rest Assured, or Swagger.</li><li>Analyze test results, identify defects, and work closely with developers to troubleshoot and resolve issues.</li><li>Create and maintain automated test suites as part of CI/CD pipelines using tools such as Azure DevOps, Jenkins, GitHub Actions, or GitLab CI/CD.</li><li>Participate in Agile ceremonies including sprint planning, daily standups, retrospectives, and backlog refinement.</li><li>Develop test metrics and quality reports to communicate testing progress and application readiness.</li><li>Collaborate with business analysts, developers, product owners, and stakeholders to understand requirements and ensure acceptance criteria are met.</li><li>Perform root cause analysis on production issues and recommend process improvements.</li></ul><p><br></p>
<p>We are looking for an experienced QA Manager to lead technology initiatives and drive delivery excellence for teams based in Chicago, IL. This Long-term Contract position is ideal for a detail-oriented individual who can guide projects from planning through execution while partnering closely with business and technical stakeholders. The role requires strong leadership in Agile environments, a practical approach to risk and timeline management, and the ability to keep teams aligned on priorities and outcomes.</p><p><br></p><p>Responsibilities:</p><p>• Lead IT projects from initiation through completion, ensuring scope, timelines, budget, and quality expectations are effectively managed.</p><p>• Facilitate Agile Scrum ceremonies, support team accountability, and help remove blockers that could affect delivery progress.</p><p>• Coordinate with cross-functional stakeholders to define project goals, establish milestones, and maintain clear communication throughout each phase.</p><p>• Use Atlassian Jira to track work, monitor progress, manage priorities, and provide accurate status reporting to leadership and project teams.</p><p>• Identify project risks, dependencies, and issues early, then develop practical mitigation plans to reduce disruption.</p><p>• Prepare and maintain project documentation, dashboards, schedules, and governance materials to support informed decision-making.</p><p>• Drive collaboration between business partners and technical teams to ensure requirements are understood and translated into actionable plans.</p><p>• Support process improvements within project delivery practices and contribute to stronger execution standards across initiatives.</p>
<p>Robert Half is seeking a <strong>Quality Assurance Tester</strong> to support a finance-driven organization implementing and enhancing enterprise financial systems, with a strong focus on Microsoft Dynamics 365. This role ensures the accuracy, reliability, and usability of financial processes and system integrations across multiple platforms. The QA Tester will act as a key liaison between finance stakeholders and technical teams, helping ensure system changes are properly validated, well understood, and successfully adopted.</p><p><br></p><p><strong>Duration:</strong> 4 month contract</p><p><strong>Location: </strong>Hybrid preferred - 1 to 2 days onsite in Bellevue, WA</p><p><strong>Schedule: </strong>Monday - Friday - Core business Hours</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Validate end-to-end financial transaction flows across Microsoft Dynamics 365 and integrated applications</li><li>Design, document, and execute test plans, test cases, and business-driven test scenarios</li><li>Perform functional, integration, regression, and UAT testing</li><li>Identify, log, and track defects using tools such as Jira and Azure DevOps</li><li>Perform root cause analysis and collaborate with technical teams to resolve issues</li><li>Ensure data integrity and reconciliation across financial systems and reporting outputs</li><li>Partner with finance stakeholders to validate system behavior and clarify results in non-technical terms</li><li>Support continuous improvement of QA processes, test coverage, and release quality </li></ul>
We are looking for a Quality Assurance Specialist to support leave administration for employees in Irvine, California. This Long-term Contract position will oversee end-to-end leave cases, coordinate with internal partners, and help ensure a consistent, compliant experience for employees throughout their time away from work. The ideal candidate brings strong attention to detail, sound judgment, and the ability to communicate clearly and compassionately in sensitive situations.<br><br>Responsibilities:<br>• Oversee the administration of employee leave programs, including protected, disability-related, parental, and personal time away from work.<br>• Coordinate with human resources, payroll, and benefits stakeholders to help maintain accurate compensation handling, benefits continuation, and return-to-work arrangements.<br>• Track leave activity with precise documentation and maintain records that support compliance with applicable federal, state, and local regulations.<br>• Guide employees through each stage of the leave process by explaining requirements, timelines, and next steps in a clear and supportive manner.<br>• Review medical, administrative, and case-related documentation to ensure leave determinations and follow-up actions are handled appropriately.<br>• Monitor case progress and follow up on outstanding items to support timely resolution and smooth transitions back to active work status.<br>• Identify process improvement opportunities that strengthen operational efficiency and improve the overall employee leave experience.<br>• Support quality assurance efforts by reviewing workflows, validating case accuracy, and helping maintain high service standards across leave administration activities.
<p>Robert Half is partnering with an innovative healthcare technology organization that is transforming how professionals discover and consume highly specialized educational content. The team is seeking a <strong>Senior, Staff or Principal AI Search and Recommendation Engineer</strong> to lead the architecture and development of next-generation AI-powered discovery, search, recommendation, and retrieval platforms.</p><p>This role is ideal for someone who has built intelligent search and recommendation systems at scale and wants to drive both technical strategy and hands-on development.</p><p>What You'll Do</p><ul><li>Lead the design and development of AI-powered search, recommendation, and discovery platforms.</li><li>Build LLM-driven user experiences that understand user intent and deliver highly relevant results.</li><li>Develop semantic search, retrieval, ranking, and recommendation pipelines using embeddings, vector databases, and modern retrieval architectures.</li><li>Design and implement Retrieval-Augmented Generation (RAG) solutions, knowledge retrieval systems, and AI-powered assistants.</li><li>Evaluate emerging AI technologies, frameworks, and infrastructure to drive innovation.</li><li>Build scalable cloud-native services supporting high-volume global users.</li><li>Partner with Product, Data Science, and Engineering teams to prototype, test, and launch new AI capabilities.</li><li>Define long-term AI architecture and best practices across the organization</li></ul>
<p>We are looking for a PLC Programmer/Automation Engineer to join a growing automation team in NW Tampa, FL area. This position focuses on developing and supporting process control solutions for bulk material handling, batching, weighing, mixing, and related industrial systems. The role is ideal for an engineer who enjoys combining PLC programming, HMI/SCADA development, and field commissioning to deliver reliable automation systems across complex manufacturing environments.</p><p><br></p><p>Responsibilities:</p><p>• Design, program, and test PLC-based control systems for industrial processing and bulk ingredient handling applications using Rockwell Automation platforms.</p><p>• Develop HMI and SCADA interfaces that give operators clear visibility into system performance, process status, and alarm conditions.</p><p>• Configure instrumentation and control devices, then support startup, tuning, and on-site commissioning to ensure systems perform as intended.</p><p>• Interpret process flow diagrams, P&IDs, and electrical schematics to translate engineering requirements into effective automation logic.</p><p>• Partner with project managers, electrical design teams, and startup personnel to coordinate implementation activities and resolve technical issues.</p><p>• Troubleshoot control hardware, industrial networks, drives, and connected field equipment to maintain reliable system operation.</p><p>• Assist with integrating third-party equipment and vendor systems into broader plant automation architectures.</p><p>• Travel to customer sites as needed to support validation, system checkout, operational readiness, and user training.</p>
<p>We are looking for an Artificial Intelligence (AI) Engineer to support the design, deployment, and ongoing operation of AI systems for a government services organization in Albuquerque, New Mexico. This position centers on building reliable AI infrastructure, enabling machine learning solutions in production, and partnering with cross-functional teams to deliver secure, scalable platforms. </p><p>The ideal candidate brings strong experience in automation, Kubernetes-based deployments, and modern MLOps practices, along with the ability to translate technical needs into durable operational solutions.</p><p><br></p><p>Responsibilities:</p><p>• Direct the rollout and integration of AI platforms and services, ensuring they work effectively with existing enterprise technologies and operational standards.</p><p>• Architect, implement, and refine AI infrastructure in partnership with cloud, server, and platform engineering teams to support dependable system performance.</p><p>• Move machine learning solutions from development into production by establishing repeatable processes for deployment, maintenance, and long-term support.</p><p>• Create and manage CI/CD and MLOps workflows that cover model validation, packaging, release, rollback, and lifecycle oversight.</p><p>• Automate infrastructure and platform operations through scripting, infrastructure-as-code methods, and configuration management tools.</p><p>• Troubleshoot platform and service issues, perform root cause analysis, and produce clear technical documentation for support and maintenance activities.</p><p>• Strengthen system visibility by implementing logging, monitoring, alerting, and incident response practices across AI environments.</p><p>• Uphold security and compliance expectations by contributing to audits, remediation efforts, vulnerability management, and secure design reviews.</p><p>• Identify and deliver improvements that increase performance, scalability, reliability, and cost efficiency across AI-enabled systems.</p><p>• Work with technical and business stakeholders to align AI implementations with organizational priorities and evaluate emerging tools for long-term operational value.</p><p>Other duties as needed</p>
<p>We are seeking a skilled AI Engineer to join our dynamic technology team. The ideal candidate has hands-on experience integrating advanced AI and large language model (LLM) features into applications, as well as a strong background in designing and delivering AI-driven solutions. In this role, you will work closely with product, engineering, and data teams to build and enhance innovative products using the latest AI frameworks and tools.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><p><br></p><ul><li>Design, develop, and integrate AI and LLM features into new or existing applications, ensuring scalable and reliable deployment.</li><li>Collaborate with cross-functional teams to define technical requirements and deliver AI-driven functionalities in production environments.</li><li>Utilize AI frameworks, APIs, and platforms such as OpenAI, LangChain, vector databases, and machine learning libraries to accelerate solution development.</li><li>Lead prompt engineering, fine-tuning, and model optimization initiatives to improve performance and user outcomes.</li><li>Evaluate and select the most appropriate AI/ML models, tools, and platforms for project needs.</li><li>Conduct documentation, code reviews, testing, and performance monitoring of AI-driven products.</li><li>Stay up to date with advancements in artificial intelligence, generative models, and industry best practices.</li></ul><p><br></p>
We are looking for an Artificial Intelligence (AI) Engineer to create and scale enterprise AI solutions in West Palm Beach, Florida. This role focuses on building production-ready applications and shared AI services across cloud environments, with an emphasis on reliability, security, and measurable business value. The ideal candidate will combine strong engineering expertise with practical experience in large language models, automation, and system integration to advance research, knowledge management, and operational efficiency.<br><br>Responsibilities:<br>• Create, implement, and launch enterprise AI applications using Amazon Web Services and related cloud technologies.<br>• Develop scalable AI infrastructure with services such as Amazon Bedrock, SageMaker, EC2, S3, Lambda, API management tools, orchestration services, and monitoring platforms.<br>• Architect AI environments that prioritize security, resilience, performance, and cost control for enterprise use cases.<br>• Build and support reusable AI capabilities that can be adopted across multiple business applications and future informatics efforts.<br>• Engineer solutions powered by large language models, retrieval-augmented generation, AI agents, and contemporary AI development frameworks.<br>• Deliver intelligent assistants, enterprise and semantic search tools, knowledge management capabilities, and document understanding solutions.<br>• Design AI-driven automation that improves workflows and streamlines day-to-day business operations.<br>• Integrate AI platforms with Microsoft and enterprise technologies, including Azure OpenAI, Microsoft 365 Copilot, Copilot Studio, SharePoint Online, Microsoft Teams, and Microsoft Graph.<br>• Develop APIs and connected services that link AI platforms with scientific applications, cloud ecosystems, and business systems.<br>• Contribute to AI governance, lifecycle management, observability, and the evaluation of emerging technologies while helping define enterprise standards and best practices.
<p><strong>AI Lead Engineer</strong></p><p><br></p><p><strong>Skills:</strong></p><p>• Proactive self-starter with excellent interpersonal, communication, and customer service skills.</p><p>• Expert-level AI/ML and full-stack development skills, with strong hands-on experience building and integrating backend services and frontend applications using modern frameworks such as Node.js and React. Strong emphasis on clean, maintainable, reproducible, well-tested, and well-documented code.</p><p>• Ability to manage multiple tasks and projects simultaneously.</p><p>• Collaborative team player with a focus on achieving common goals.</p><p>• Meticulous attention to detail.</p><p>• Quick learner with a passion for staying current with emerging technologies and industry trends.</p>
<p>A Tulsa based company is looking for an AI Engineer. You will help shape the future of intelligent automation and enterprise technology by developing AI-driven solutions that improve operational efficiency, enhance customer experience, and support large-scale managed services environments. In this role, you will work closely with Automation Engineers to design, develop, and implement AI models and algorithms that strengthen service offerings, expand automation capabilities, and support scalable enterprise solutions. You will also collaborate cross-functionally with engineering, operations, and technology teams to identify opportunities for AI-driven improvements and business innovation. </p><p>If you enjoy working in fast-paced environments and are excited by emerging technologies and partnering across teams, please apply today. </p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Develop and deploy AI models and algorithms to solve business challenges</li><li>Partner with Automation Engineers to integrate AI solutions into existing systems and workflows</li><li>Analyze, clean, and preprocess data to ensure quality and relevance for AI applications</li><li>Research and evaluate emerging AI technologies, including generative AI and machine learning solutions, to support innovation</li><li>Contribute to the testing, evaluation, and adoption of generative AI and large language model (LLM) technologies</li><li>Help build scalable AI workflows and integrate AI capabilities into enterprise systems and operational processes</li><li>Deliver reliable, effective AI solutions that support high levels of customer satisfaction</li><li>Document AI processes and maintain accurate records of model development, testing, and deployment</li><li>Support AI solutions designed for large-scale enterprise environments across industries such as retail, healthcare, finance, utilities, and energy</li></ul><p><br></p><p><br></p>
<p>Robert Half is hiring! We are looking for a Sr/Lead/Principal Engineer that has experience in agentic workflows. This role focuses on building intelligent, production-ready applications that combine modern AI capabilities with reliable full-stack engineering. The ideal candidate will contribute across architecture, development, deployment, and operational support while partnering closely with product, design, and infrastructure teams.</p><p><br></p><p>Responsibilities:</p><p>• Lead complete product delivery efforts, guiding solutions from concept and design through deployment and ongoing improvement.</p><p>• Create and refine agentic AI workflows that support practical business use cases and integrate effectively with broader application ecosystems.</p><p>• Develop scalable server-side applications using Python frameworks such as Django, Flask, or FastAPI, or with Node.js frameworks including Express or NestJS.</p><p>• Build and support RESTful and GraphQL interfaces that enable secure, efficient communication between services and user-facing applications.</p><p>• Enhance front-end experiences in React, ensuring strong connectivity between interface components and backend systems.</p><p>• Architect and maintain microservices and distributed application components with a focus on reliability, scalability, and maintainability.</p><p>• Improve system efficiency by tuning application performance, refining database interactions, and managing cloud resource consumption responsibly.</p><p>• Apply strong security practices by implementing access controls, authentication methods, and authorization standards across the platform.</p><p>• Support automated delivery processes through CI/CD pipelines and containerized deployments using Docker and related tooling.</p><p>• Investigate, troubleshoot, and resolve production issues in cloud environments while collaborating with cross-functional stakeholders.</p>
<p>Robert Half is hiring for a Principal level Software Engineer to focus on agentic workflows and AI software products. In this role, you will lead full product development efforts while creating intelligent, scalable applications that combine agentic AI capabilities with modern web technologies. The position calls for a hands-on engineer who can build reliable backend systems, contribute to user-facing experiences, and partner across teams to deliver secure, high-performing solutions.</p><p><br></p><p>Responsibilities:</p><p>• Lead the full software development lifecycle for AI-enabled products, from technical planning and architecture through deployment and ongoing improvement.</p><p>• Create and refine agentic AI workflows that support business objectives and integrate effectively with application services.</p><p>• Build, test, and support scalable server-side applications using Python frameworks such as Django, Flask, or FastAPI, or Node.js frameworks including Express or NestJS.</p><p>• Develop and maintain RESTful or GraphQL interfaces that enable dependable communication between applications and services.</p><p>• Contribute to front-end development with React, ensuring smooth interaction between user interfaces and backend functionality.</p><p>• Architect and support microservices-based and distributed systems designed for reliability, flexibility, and growth.</p><p>• Improve overall system efficiency by tuning application performance, refining database access patterns, and managing cloud resource consumption.</p><p>• Apply strong security practices by implementing access control, authentication, and authorization measures across applications.</p><p>• Oversee containerized delivery processes and automated deployment workflows using Docker and CI/CD tools, while diagnosing and resolving production issues in cloud environments.</p><p>• Work closely with product, design, and DevOps partners to deliver maintainable, well-documented solutions that meet project goals.</p>
<p><strong>Machine Learning Engineer</strong></p><p><strong>Pay: </strong>$70-75/hr, available solely on W2 Basis</p><p><strong>Consultant I (Contractor)</strong></p><p><strong>Work Location:</strong> Reston, VA (4x onsite)</p><p><strong>Engagement Type: </strong>34 Week Contract, Potential for Extension or Conversion</p><p><strong>Position Overview</strong></p><p>We are seeking a Machine Learning Engineer to support the design, development, and optimization of machine learning solutions for real‑world applications. This role focuses on model development, data pipeline construction, and performance evaluation within a collaborative engineering environment.</p><p><strong>Key Responsibilities</strong></p><ul><li>Design, build, train, and evaluate machine learning and deep learning models for production and analytical use cases</li><li>Develop and maintain scalable data pipelines for data collection, cleaning, transformation, and ingestion</li><li>Conduct experiments and analyze performance metrics such as accuracy, recall, and AUC</li><li>Optimize models for performance, speed, reliability, and scalability</li><li>Collaborate with cross‑functional teams to support data‑driven solutions</li></ul>
We are looking for a Machine Learning Engineer to build and support production-ready AI systems in Los Angeles, California. This position focuses on creating reliable machine learning infrastructure, enabling scalable model operations, and advancing generative AI solutions that improve access to business-critical information. The ideal candidate will combine strong platform engineering skills with hands-on experience deploying models, automating workflows, and maintaining high standards for quality, governance, and performance.<br><br>Responsibilities:<br>• Build and maintain scalable machine learning infrastructure in Databricks, including experiment tracking, model management, and serving capabilities for production use.<br>• Create and improve MLOps frameworks and automated deployment pipelines that support model release, monitoring, and lifecycle management.<br>• Establish disciplined processes for model version control, retraining, and artifact governance using tools such as Unity Catalog.<br>• Develop and administer a feature store strategy that keeps training and inference data consistent across machine learning workflows.<br>• Design retrieval-augmented generation solutions that allow internal teams to search and interact with documents such as fund materials, investor communications, and research content.<br>• Implement and manage vector search platforms to support semantic retrieval across large collections of enterprise documents.<br>• Customize and fine-tune large language models using proprietary datasets while protecting data privacy and meeting compliance expectations.<br>• Build document ingestion and transformation pipelines that handle parsing, segmentation, and embedding creation for generative AI applications.<br>• Introduce prompt design standards, evaluation methods, and application safeguards to improve response quality, reduce hallucinations, and provide source-backed outputs.<br>• Automate training, testing, orchestration, and deployment workflows through CI/CD pipelines and tools such as Databricks Workflows, GitHub Actions, Azure DevOps, Airflow, or Prefect.