<p><strong>QA Engineer</strong></p><p>Onsite | Austin, TX | Contract</p><p><br></p><p>We are seeking a detail-oriented QA Engineer to support the delivery of high-quality software products across web and/or mobile platforms. This individual will partner closely with engineering, product, and DevOps teams to ensure reliability, performance, and usability throughout the development lifecycle.</p><p><br></p><p><strong>Responsibilities:</strong></p><ul><li>Design, develop, and execute manual and automated test cases for web, API, and/or mobile applications</li><li>Build and maintain automated test frameworks using tools such as Selenium, Cypress, Playwright, or TestCafe</li><li>Perform API testing using tools like Postman, RestAssured, or SoapUI</li><li>Identify, document, and track defects using JIRA, Azure DevOps, or TestRail</li><li>Collaborate with developers in Agile/Scrum environments to define acceptance criteria and ensure test coverage</li><li>Execute regression, integration, and performance testing using tools such as JMeter, LoadRunner, or k6</li><li>Participate in CI/CD pipelines and integrate automated tests using Jenkins, GitHub Actions, GitLab CI, or CircleCI</li><li>Validate data integrity using SQL and database tools (MySQL, PostgreSQL, Snowflake, etc.)</li><li>Contribute to continuous improvement of QA processes, standards, and best practices</li></ul>
<p><strong>Quality Assurance Engineer II</strong></p><p><strong>Employment Type:</strong> Contract through 12/31/26, Potential for Extension</p><p><strong>Location:</strong> Centennial, CO Onsite/Hybrid</p><p><strong>Pay: </strong>Available on W2 only</p><p><br></p><p><strong>Position Overview</strong></p><p>This role is focused on QA testing for cable TV and broadband products, supporting lab environments and infrastructure while executing manual testing and contributing to light scripting/automation efforts. The ideal candidate will have experience with RF technologies, networking fundamentals, and hands-on testing in a lab or hardware-focused environment.</p><p><br></p><p><strong>Key Responsibilities</strong></p><p>• Support and maintain QA lab environments and test infrastructure</p><p>• Execute manual test cases and validate product functionality</p><p>• Identify, document, and track defects in Jira</p><p>• Develop basic scripts to support automation efforts</p><p>• Create test reports and analyze results across test cycles</p><p>• Collaborate with QA and development teams to validate releases</p>
<p>About the Role</p><p>We are seeking a Senior Quality Assurance Engineer / End-to-End Test Lead to support large-scale retail technology initiatives for a fast-paced enterprise environment. This role is ideal for an experienced QA professional with strong retail domain expertise, hands-on test automation experience, and a proven track record leading end-to-end testing efforts across large teams and complex projects.</p><p>The ideal candidate will be comfortable coordinating testing activities across multiple stakeholders, driving quality assurance strategies, and ensuring successful delivery of enterprise retail systems and applications.</p><p>Key Responsibilities</p><ul><li>Lead and coordinate end-to-end testing activities across large-scale retail technology projects</li><li>Collaborate with cross-functional teams including developers, business analysts, product owners, and project managers</li><li>Develop and execute comprehensive QA strategies, test plans, and test cases</li><li>Drive defect tracking, root cause analysis, and issue resolution throughout the testing lifecycle</li><li>Support and contribute to automated testing efforts and quality engineering best practices</li><li>Ensure testing coverage across integrated retail systems, applications, and workflows</li><li>Provide status updates, testing metrics, and risk assessments to leadership and stakeholders</li><li>Act as a Subject Matter Expert (SME) within retail systems and quality assurance processes</li><li>Mentor junior QA team members and help drive continuous improvement initiatives</li></ul>
<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>Robert Half is seeking an AI & Automation Engineer to support enterprise automation initiatives and drive operational efficiency through workflow automation, intelligent process automation, and AI-enabled business solutions.</p><p>The ideal candidate combines strong business analysis skills with hands-on experience designing and implementing automation solutions that streamline processes, improve data accuracy, and enhance organizational productivity.</p><p><strong>Key Responsibilities</strong></p><ul><li>Partner with business, operations, and product stakeholders to identify automation opportunities and process improvements.</li><li>Gather, document, and analyze business requirements for automation initiatives.</li><li>Design, develop, and implement workflow automation solutions using approved automation and low-code platforms.</li><li>Automate reporting, data synchronization, operational workflows, and other business processes.</li><li>Create and maintain bots, workflows, and automated business solutions.</li><li>Support testing, deployment, governance, and ongoing optimization of automation initiatives.</li><li>Leverage AI technologies to improve decision-making, efficiency, and scalability.</li><li>Collaborate with cross-functional teams to prioritize and deliver high-value automation projects.</li><li>Monitor and enhance existing automation solutions to maximize performance and business impact.</li></ul><p><strong>Common Project Areas</strong></p><ul><li>Automated reporting and analytics</li><li>Data integration and synchronization</li><li>Business process automation</li><li>Workflow orchestration</li><li>Operational efficiency initiatives</li><li>AI-assisted process improvements</li></ul>
<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 looking for an AI Software Engineer to develop intelligent applications that leverage modern AI, machine learning, and large language model technologies. This role will work closely with product, engineering, and business teams to build AI-driven solutions that improve business outcomes and user experiences.</p><p>Responsibilities</p><ul><li>Design and develop AI-powered applications and services</li><li>Build integrations with large language models (LLMs) and AI platforms</li><li>Develop APIs and backend services supporting AI workflows</li><li>Implement prompt engineering and model evaluation strategies</li><li>Optimize AI solutions for performance, scalability, and reliability</li><li>Collaborate with product and business stakeholders to identify use cases</li><li>Support deployment and monitoring of AI solutions in production</li></ul><p><br></p>
<p>We are looking for a Compliance Engineer to support regulatory and certification testing for retail technology products in Boston, Massachusetts. This Long-term Contract position focuses on validating product compliance across safety, electromagnetic compatibility, and radio frequency standards while partnering with engineering teams and external laboratories. The ideal candidate will combine hands-on testing expertise with strong documentation skills to help keep certification activities on track and aligned with broader product timelines.</p><p><br></p><p>Responsibilities:</p><p>• Execute hands-on compliance evaluations covering electrical safety, EMC, and wireless performance requirements for new and existing products.</p><p>• Partner with compliance leadership, product developers, and external laboratories to plan, coordinate, and complete required certification activities.</p><p>• Investigate test failures, support root-cause analysis, and help drive timely issue resolution so project milestones remain on schedule.</p><p>• Work across engineering and program teams to align regulatory testing plans with overall development deliverables and launch targets.</p><p>• Manage communication with third-party certification facilities to secure initial approvals as well as ongoing renewals.</p><p>• Contribute to regulatory readiness strategies that support product releases in multiple international markets.</p><p>• Review applicable standards and confirm that products satisfy required safety, energy efficiency, EMC, and RF certification criteria.</p><p>• Analyze laboratory results, compare data from different test environments, and prepare clear compliance documentation with supported conclusions.</p><p>• Assist with change-related engineering activities and coordinate with regulatory bodies, manufacturing partners, and test organizations as needed.</p>
<p>We are looking for a Quality Assurance Tester to support software quality initiatives for focused applications. This contract opportunity is ideal for a hands-on testing specialist who can build and execute effective test strategies while working across technical environments that include C#/.NET and Node.js. The role will focus on identifying defects, validating application changes, and helping ensure reliable system performance through structured testing and clear documentation.</p><p><br></p><p>Responsibilities:</p><p>• Create and carry out detailed test approaches, cases, and scripts to evaluate application behavior and uncover issues before release.</p><p>• Assess new features, updates, and system changes to confirm readiness for deployment and reduce production risk.</p><p>• Develop testing coverage for functional workflows, database interactions, usability considerations, and application performance scenarios.</p><p>• Record defects in a tracking system with clear reproduction steps, supporting evidence, and impact details for development teams.</p><p>• Investigate inconsistencies in program output, on-screen behavior, and content accuracy to isolate root causes and document findings.</p><p>• Follow defect remediation progress, verify fixes, and report on testing outcomes to stakeholders throughout the project lifecycle.</p><p>• Maintain organized records of known issues, test results, and quality metrics to support efficient regression testing.</p><p>• Coordinate testing timelines and priorities in alignment with project scope, release schedules, and delivery milestones.</p>
<p>We are looking for an Artificial Intelligence (AI) Platform Engineer to support the design, operation, and enhancement of enterprise AI platform capabilities in central OH. This Long-term Contract position will focus on creating dependable services, infrastructure, and automation that help teams build, deploy, and manage AI solutions at scale.</p><p><br></p><p>The AI Platform Engineer is responsible for building, operating, and continuously improving the core platform capabilities that enable development, deployment, and scaling of AI solutions across our client's enterprise environment.</p><p> </p><p>This role focuses on implementing platform services, APIs, and infrastructure that support the AI software development lifecycle, including model integration, orchestration, deployment, and monitoring. Working under architectural guidance, the engineer ensures platform components are reliable, secure, and reusable, enabling application teams to efficiently develop and deploy AI-enabled solutions.</p><p> </p><p>The position emphasizes hands-on engineering, cloud platform operations, and automation, ensuring AI workloads execute consistently and efficiently across environments. Through collaboration with platform, data, and application teams, the AI Platform Engineer contributes to improving developer experience, accelerating adoption of AI capabilities, and maintaining stable, scalable platform operations.</p><p><br></p><p><br></p><p><br></p><p>Responsibilities:</p><p>• Build and maintain core AI platform services that support model development, integration, deployment, and ongoing operations across enterprise environments.</p><p>• Develop APIs, reusable components, and infrastructure patterns that enable application teams to deliver AI-enabled solutions more efficiently.</p><p>• Manage cloud-based platform operations to ensure AI workloads run reliably, securely, and consistently at scale.</p><p>• Implement automation for provisioning, deployment, monitoring, and support processes to improve platform stability and reduce manual effort.</p><p>• Collaborate with platform, data, and software engineering teams to align technical solutions with architectural standards and business needs.</p><p>• Monitor platform health, troubleshoot operational issues, and drive continuous improvements in performance, resilience, and usability.</p><p>• Support orchestration and lifecycle management of AI services, including deployment workflows, runtime management, and observability.</p><p>• Contribute to a scalable engineering environment that accelerates enterprise adoption of AI capabilities while maintaining strong operational controls.</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> 6 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 Software Quality Assurance Analyst to support application quality initiatives for a service-focused organization in Westlake, Ohio. This role centers on backend and database validation, requiring someone who can investigate issues thoroughly, work independently, and collaborate effectively with cross-functional teams. The ideal candidate brings strong manual testing expertise, a disciplined approach to prioritization, and the flexibility to succeed in a fast-moving environment.<br><br>Responsibilities:<br>• Design and carry out manual test activities for software applications, with particular emphasis on validating backend processes and database accuracy.<br>• Create, run, and refine complex SQL queries to verify data integrity, trace defects, and confirm expected system behavior.<br>• Document test scenarios, findings, and defect details clearly so development and business teams can resolve issues efficiently.<br>• Partner with stakeholders across technical and non-technical groups to clarify requirements, address ambiguities, and support shared delivery goals.<br>• Manage multiple testing assignments at once while maintaining accuracy, meeting deadlines, and adjusting to shifting priorities.<br>• Analyze unexpected system behavior, identify root causes, and recommend practical solutions that improve product quality.<br>• Contribute to quality efforts throughout the software development lifecycle, including work within Agile-based delivery environments.<br>• Support testing for applications and platforms associated with technologies such as Selenium, Zendesk, and Microsoft-based development environments when applicable.
We are looking for a Sr QA Analyst to join a long-term contract opportunity in Cincinnati, Ohio. This role is ideal for a senior quality specialist who can lead testing efforts, strengthen test practices, and introduce scalable automation while remaining hands-on with execution. The position requires someone who can work independently, communicate effectively with stakeholders, and drive progress across functional, end-to-end, and data validation activities.<br><br>Responsibilities:<br>• Lead quality assurance activities across multiple initiatives, including functional, end-to-end, regression, and data-focused testing efforts.<br>• Design comprehensive test strategies, create detailed test plans and cases, and guide execution to support timely and accurate delivery.<br>• Establish and configure automated testing frameworks, develop reusable test scripts, and expand automation where it improves speed, coverage, and repeatability.<br>• Build and maintain testing dashboards and reporting views that provide clear insight into progress, defects, risks, and overall test cycle health.<br>• Coordinate daily testing activities, prioritize work across concurrent projects, and ensure issues are escalated and resolved in partnership with project leadership.<br>• Perform hands-on validation of data conversions, including reconciliation, exception analysis, and verification of business rules across source and target datasets.<br>• Develop Python-based solutions using pandas to transform raw CSV files, automate validation checks, and produce exception reports, metrics, and audit-ready outputs.<br>• Apply data cleansing, deduplication, and integrity controls to improve data quality, including handling formatting issues, duplicate logic, and file-level inconsistencies.<br>• Collaborate closely with client and internal teams to secure required access, remove blockers, and keep testing moving efficiently to completion.<br>• Follow established quality standards, documentation practices, and artifact retention requirements while supporting both manual and automated testing as needed.
<p>We are seeking a detail-oriented Temporary Administrative Compliance Coordinators to support critical audit and compliance initiatives over a 3–4 month period. This role will assist with reviewing documentation, validating records, preparing for audits, and supporting various compliance-related projects. The ideal candidate will possess strong organizational skills, exceptional attention to detail, and the ability to accurately review high volumes of information while identifying gaps, inconsistencies, and compliance concerns.</p><p><br></p><p><strong>Duties:</strong></p><ul><li>Review and audit session notes, treatment documentation, and related records to ensure compliance with payer and regulatory requirements (training provided).</li><li>Organize, maintain, and track audit-related documentation and records.</li><li>Identify missing information, documentation gaps, and inconsistencies within records.</li><li>Support compliance, quality assurance, and operational projects as assigned.</li><li>Maintain confidentiality and handle sensitive information in accordance with company policies and regulatory standards.</li><li>Provide general administrative support related to compliance and auditing initiatives.</li></ul>
<p>We are looking for a Level 2 QA Analyst to support privacy and website compliance initiatives in Southern California. This is a Long-term Contract position focused on ensuring applications, workflows, and data-handling practices align with regulatory expectations and internal quality standards. The role works closely with business, legal, compliance, and technology stakeholders to assess requirements, coordinate testing efforts, and confirm that privacy-focused solutions are delivered accurately and reliably.</p><p><br></p><p>Responsibilities:</p><p>• Build and carry out test strategies, test plans, and detailed test cases to evaluate privacy-related business and system requirements.</p><p>• Verify that consent management processes, data subject request workflows, and handling of sensitive information function as intended and meet compliance expectations.</p><p>• Perform functional, integration, and user acceptance testing for website and privacy compliance initiatives, documenting outcomes clearly.</p><p>• Record, prioritize, and monitor defects through resolution while partnering with cross-functional teams to address root causes and retesting needs.</p><p>• Produce QA artifacts such as traceability matrices, validation reports, test evidence, and defect summaries to support compliance reviews and audit readiness.</p><p>• Maintain end-to-end traceability between requirements, test scenarios, execution results, and final validation status.</p><p>• Review business and regulatory requirements to identify gaps, improve testability, and confirm complete test coverage.</p><p>• Communicate testing progress, quality risks, compliance concerns, and critical issues to stakeholders, including recommendations for mitigation.</p><p>• Assess opportunities to strengthen QA processes, reporting practices, and repeatable automation for compliance-focused testing activities.</p>
<p><strong>SENIOR QA ANALYST / SDET</strong></p><p><strong>Hybrid in Philadelphia, PA</strong></p><p><strong>Contract through 12/31/26 (Extensions Likely)</strong></p><p><br></p><p>This role is for a Senior QA Analyst / SDET supporting a suite of modern, cloud-based applications built on a microservices architecture. The position focuses on designing and executing automated testing frameworks, validating APIs and distributed systems, and driving quality standards across the software development lifecycle within a hybrid Agile environment.</p><p><br></p><p><strong>Responsibilities:</strong></p><ul><li>Design, develop, and execute automated test frameworks and scripts</li><li>Perform manual testing as needed, particularly in remote or edge-case workflows</li><li>Test REST APIs, JSON services, and backend systems using tools like Postman</li><li>Validate functionality across microservices and distributed architectures</li><li>Support automated testing for Java-based applications and middleware systems</li><li>Utilize scripting (Python and/or JavaScript/TypeScript) to enhance test automation</li><li>Collaborate with engineering, Product Owners, and QA teams in an Agile/hybrid environment</li><li>Participate in test planning, execution, and continuous improvement initiatives</li><li>Maintain and contribute to automation pipelines and CI/CD workflows</li><li>Track QA metrics including defects, execution results, and overall test status</li><li>Identify risks, monitor delivery timelines, and support mitigation strategies</li><li>Document and track defects while partnering with development teams for resolution</li><li>Perform quality audits and ensure adherence to QA standards and methodologies</li><li>Act as a quality advocate and provide guidance across technical teams</li></ul>
<p><strong>Quality Assurance Analyst (SDET) III – Contract</strong></p><p><strong>Employment Type:</strong> 38 Week Contract, Potential for Extension</p><p><strong>Location:</strong> <em>Philadelphia, PA (Hybrid 4x onsite weekly) </em></p><p><strong>Pay: </strong>Available on W2</p><p><strong>Overview</strong></p><p>We are seeking an experienced <strong>Quality Assurance Analyst (SDET) III</strong> to support automated testing, QA strategy, and high‑quality software delivery within a collaborative Agile environment. This role is ideal for a hands‑on QA professional with deep experience in test automation, Python scripting, Java QA, API testing, and continuous integration tools.</p><p><strong>Key Responsibilities</strong></p><ul><li>Establish testing milestones, monitor progress, identify delivery risks, and drive mitigation strategies.</li><li>Develop and execute test cases, use cases, and automated scripts using Python for Java middleware development.</li><li>Test RESTful services, JSON payloads, and APIs; work with tools such as Jenkins, Splunk, Swagger, and other CI/CD systems.</li><li>Define and execute business scenarios that align with real-world operational needs.</li><li>Track and report quality assurance metrics (defects, defect counts, test results, and overall test status).</li><li>Collect and analyze data to support software process improvements and incorporate enhancements into broader business workflows.</li><li>Create and execute formal test plans; perform test planning, test case writing, test automation, and manual/automated test execution.</li><li>Document defects, support troubleshooting, and assist in resolution efforts.</li><li>Provide training and act as an internal quality consultant for technical teams.</li><li>Conduct quality audits across IT teams to ensure adherence to established quality standards, processes, and methodologies.</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>
We are looking for an experienced Artificial Intelligence (AI) Engineer to establish and lead a secure, scalable internal AI platform in San Francisco, California. This role will shape the technical foundation for enterprise AI adoption by creating development standards, deployment practices, and governance controls that support reliable use across the organization. The position works closely with technology, security, and business teams to help both technical and non-technical users build, launch, and manage AI-powered solutions responsibly.<br><br>Responsibilities:<br>• Design, implement, and support the organization’s internal AI platform, with a primary focus on Azure-based environments, tools, and supporting infrastructure.<br>• Create and manage automated delivery workflows for AI applications, ensuring code is tested, versioned, and promoted through environments efficiently.<br>• Establish policies and technical controls that guide secure, compliant, and responsible use of AI across enterprise teams.<br>• Enable developers and business users to create AI-driven solutions by providing practical frameworks, tooling, and support for modern AI-assisted development environments.<br>• Lead the release and production rollout of AI solutions, overseeing readiness, deployment standards, and operational stability.<br>• Work closely with IT, security, and business stakeholders to encourage adoption, clarify proper usage, and align AI capabilities with organizational needs.<br>• Maintain platform health by managing access controls, monitoring performance, and improving development standards for scalable AI delivery.<br>• Coordinate with external consultants and partners to help execute AI initiatives and advance the broader platform roadmap.<br>• Produce clear documentation for workflows, technical standards, and best practices to support continued growth in enterprise AI usage.
<p>This role sits at the intersection of AI engineering, data scientist, developer enablement, and customer engagement. You will partner with Product, Engineering, Applied Science, and AI Platform teams to support implementation decisions, accelerate AI adoption, and help teams adopt reusable AI engineering patterns and implementation best practices.</p><p>This is a deeply hands-on role focused on building, prototyping, and iterating on AI-powered experiences. The ideal candidate combines strong software engineering fundamentals with practical experience deploying LLM applications, agent systems, and AI-native workflows in production environments.</p><p><br></p><p><strong>What you’ll do</strong></p><p><strong>Start with customers</strong></p><p>• Spend real time with lawyers, legal operations teams, and our internal subject-matter experts — in their offices, on their calls, watching their workflows. Develop a strong understanding of customer workflows and operational challenges through direct engagement.</p><p>• Translate ambiguous, half-formed customer pain into crisp problem statements the team can build against.</p><p>• Collaborate closely with customers and internal stakeholders to prototype, validate, and refine AI-powered workflows and user experiences based on customer feedback and observed user needs.</p><p>• Bring the customer voice back into our roadmaps, our model choices, and our trade-offs.</p><p>• Occasional travel to customer sites may be required to better understand workflows and gather product feedback.</p><p><br></p><p><strong>Build AI-powered applications and workflows</strong></p><ul><li>Contribute to AI-powered applications and workflows for legal and business use cases, including leveraging existing RAG pipelines, research assistants, and related AI capabilities developed by ML engineering teams.</li><li>Implement and iterate on LLM application capabilities such as prompt engineering, multi-step workflows, tool calling, and lightweight agent patterns in collaboration with machine learning engineering teams.</li><li>Contribute to scalable orchestration layers for prompting, retrieval, and tool integration across AI services.</li><li>Work with frameworks such as LangChain, LangGraph, LlamaIndex, MCP/A2A, OpenAI SDKs, Google ADK, and/or Anthropic/Claude APIs to prototype and productionize AI capabilities.</li><li>Participate in experimentation, testing, and performance optimization activities for LLM-based applications in production environments.</li></ul><p><strong>Contribute to AI Engineering Enablement</strong></p><ul><li>Support adoption of AI engineering practices by helping software engineering teams incrementally integrate machine learning and generative AI capabilities into existing products and workflows, in collaboration with AI/ML engineering teams.</li><li>Promote reusable AI/ML engineering standards, tooling, and best practices that reduce friction for teams adopting AI and machine learning technologies, while aligning with recommendations from data science and AI platform teams.</li><li>Help software engineers expand their capabilities in ML-oriented development for applicable use cases without requiring deep data science specialization.</li><li><br></li></ul>
<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 join a manufacturing organization in Grand Prairie, Texas on a Long-term Contract assignment. This role centers on creating enterprise-ready AI solutions that automate data-intensive processes, with a strong emphasis on autonomous workflows, backend engineering, and scalable system design. The ideal candidate will combine hands-on experience with Claude, C#, Visual Studio, and Microsoft SQL to deliver reliable AI-enabled applications that improve data classification, retention, and archiving outcomes.<br><br>Responsibilities:<br>• Build and deploy autonomous AI workflows that streamline data handling, classification, and archival activities across backend platforms.<br>• Create AI-enabled applications using Claude within a .NET and Visual Studio development environment to support production use cases.<br>• Develop and enhance APIs, services, and processing layers that power intelligent data automation solutions.<br>• Translate legacy database logic into modern Entity Framework-based implementations to improve maintainability and enable AI-assisted processing.<br>• Redesign data architecture components to support a shift from tightly coupled database structures toward service-oriented or microservices-based models.<br>• Define and refine prompts, agent behaviors, and orchestration logic to ensure dependable and repeatable AI outcomes.<br>• Improve the efficiency, scalability, and operational cost of AI-driven workflows through performance tuning and architecture decisions.<br>• Work with business and technical stakeholders to establish data governance standards, retention rules, and classification frameworks.<br>• Produce clear technical documentation and share knowledge to support adoption and long-term sustainability of delivered solutions.