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2 results for Sr Quality Assurance Analyst Automated Testing Api Test in Nashville, TN

Supplier Quality Engineer

La Vergne, TN
onsite
Permanent / Full Time
65000 - 85000 USD / Yearly
Our client is seeking a Supplier Quality Engineer to drive supplier quality performance, lead corrective action initiatives, and reduce manufacturing defects and material-related scrap. This role partners closely with suppliers, engineering, operations, and quality teams to ensure purchased materials meet quality expectations and support continuous improvement efforts. Key Responsibilities:<ul><li>Lead supplier quality investigations, containment activities, and corrective action efforts.</li><li>Partner with suppliers to identify root causes and implement sustainable solutions using methodologies such as 8D and continuous improvement tools.</li><li>Coordinate material sorting and containment activities with internal teams, suppliers, and third-party providers.</li><li>Track and analyze supplier-related quality issues, assembly damage, and scrap trends.</li><li>Drive process improvement initiatives using DMAIC, Pareto analysis, trend analysis, and data-driven action plans.</li><li>Manage the supplier failure analysis process, including tracking returned materials and ensuring timely supplier responses.</li><li>Collaborate with Operations, Quality, Process Engineering, and Test Engineering teams to improve product quality and reduce costs.</li><li>Support ISO 9001 quality management activities, including internal audits, documentation, calibration, and continuous improvement efforts.</li><li>Prepare reports and communicate quality performance metrics to management and key stakeholders.</li></ul>
2026-08-27T00:00:00Z

AI Software Engineer

Nashville, TN
onsite
Temporary / Contract
78.5 - 87 USD / Hourly
Robert Half is seeking an innovative AI Software Engineer 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.This position offers the opportunity to work on cutting-edge AI initiatives that drive automation, improve business processes, and create intelligent user experiences. Key Responsibilities<ul><li>AI Application Development: Design, build, and maintain AI-powered applications, APIs, and services using modern software development practices.</li><li>LLM Integration: 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>Machine Learning Solutions: Build, train, evaluate, and deploy machine learning models to solve business challenges.</li><li>Software Engineering: Develop scalable backend systems and microservices using languages such as Python, C#, Java, or JavaScript/TypeScript.</li><li>Data Processing: Design data pipelines and workflows for collecting, transforming, and preparing data used in AI applications.</li><li>Cloud Deployment: Deploy and manage AI workloads within cloud environments including AWS, Azure, or Google Cloud Platform.</li><li>Model Optimization: Monitor AI system performance, improve model accuracy, optimize inference costs, and implement guardrails for reliability and security.</li><li>Collaboration: Partner with product managers, data engineers, data scientists, and business stakeholders to deliver AI solutions aligned with organizational goals.</li><li>Documentation: Create and maintain technical documentation for AI architectures, workflows, APIs, and deployment processes.</li><li>Research & Innovation: Stay current on emerging AI technologies, frameworks, and industry best practices.</li></ul>
2026-09-01T00:00:00Z