• Perform dimensional and cosmetic inspections of components, intermediate products, and finished products. • Use of basic measuring equipment (3D measuring devices, height gauges, vernier calipers, scales, thermometers, pressure gauges). • Exchange quality information with overseas inter-company companies as needed. • Issue inspection reports to customers. • Prepare and manage all documentation required for overall quality control. • Manage parts ordering and coordinate delivery dates with sales. • Maintain ISO standards and handle traceability.

Role Description We are looking for an enthusiastic and detail-oriented Associate Quality Engineer to join our Quality Engineering team. This role is ideal for early‑career professionals who have a strong foundation in SDLC, functional testing, automation basics, and a keen desire to grow into a full-stack Quality Engineer. You will work closely with QA, development, and product teams to deliver high‑quality software through structured testing and automation practices. Key Responsibilities - Quality Assurance & Testing - Participate in reviewing user stories, requirements, and acceptance criteria to identify test scenarios. - Design, create, and execute manual and automated test cases for web applications. - Perform functional, regression, and smoke testing with attention to detail and accuracy. - Understand and follow established QA processes, defect lifecycle, and Agile development methodologies (Scrum preferred). - Automation - Develop and maintain automated test scripts using Playwright (TypeScript preferred / JavaScript acceptable). - Apply modular and scalable automation design principles (DRY, POM, componentization). - Contribute to expanding automation coverage across UI and API layers. - Help identify tests suitable for automation and maintain test suites for reliability and performance. - API & Performance Testing (Value Add - Strong Preference) - Execute and validate API tests using tools like Postman, Bruno, or similar. - Exposure to performance testing concepts and tools (e.g., JMeter, Gatling) is preferred. - Collaboration & Reporting - Log defects with clear reproduction steps and detailed insights using JIRA or similar tools. - Collaborate with developers, product owners, and senior QA resources to ensure timely resolution of defects. - Participate in daily standups, sprint ceremonies, and QA planning discussions. - Maintain test documentation, automation scripts, and version-controlled repositories using Git. Qualifications - Must Have: - 3-5 years of experience in software testing or quality engineering. - Practical experience with Playwright (TypeScript or JavaScript). - Understanding of Agile processes, QA fundamentals, and defect lifecycle. - Knowledge of Git or other version control systems. - Experience with JIRA or any task/defect tracking tool. - Bachelor’s Degree in STEM. - Experience with Agile Scrum and ATDD methodologies. - Good to Have: - Exposure to API testing tools (Postman, Bruno, etc.). - Exposure to performance testing tools (JMeter, Gatling). - Experience automating mobile platforms, a plus. - Experience in writing SQL queries and database automation. - Experience in scripting languages, such as Python or Ruby, are a plus. Benefits - Competitive compensation package based on performance. - Medical and dental coverage. - Pension and 401(k) plans. - Wide range of paid time off options. - Flexible work environment. - Time off for designated ACA Paid Holidays, Summer Fridays, Personal/Family Care, and other leaves of absence. - Continuous learning opportunities. - Transformative leadership insights and coaching. - Diverse and inclusive culture.

• Respond to customer inquiries regarding tooling • Respond to clients' technical requests for machining complex parts • Assist in creating 2D and 3D concept and manufacturing drawings to evaluate technical proposals • Conduct CAM simulations to assess and optimize the project • Deliver internal and external presentations on tooling and the proposed machining solutions • Define special-purpose tools in coordination with specialized departments • Provide technical support to sales teams and customers • Provide technical and economic advice for selecting suppliers of special tooling • Use and maintain the technical database • Multi-day travel to visit customers, approximately 25% of the time

• Embed with strategic enterprise customers to rapidly diagnose critical business challenges, map data landscapes, and co-design AI solutions on-site. • Lead end-to-end solution design and delivery of agentic AI workflows, RAG pipelines, knowledge graphs, and real-time decision-making applications. • Drive rapid prototyping and POCs that demonstrate tangible business value within days to weeks. • Serve as the primary technical owner across the full project lifecycle: scoping, architecture, build, deployment, and post-launch optimization. • Architect production-grade Enterprise AI applications on Partner Foundry Solutions or Datacentres Private Cloud and GPU infrastructure, integrating with enterprise systems (ERP, CRM, data warehouses, data lakes). • Build scalable data pipelines across structured and unstructured data using ETL/ELT, vector databases (Pinecone, Weaviate, AstraDB), and knowledge base frameworks. • Develop and fine-tune LLM/SLM solutions; implement RAG architectures (LlamaIndex, Haystack) and orchestrate multi-agent workflows (LangChain, LangGraph, CrewAI). • Ship with full-stack and DevOps depth: Python, Node.js/Go, React/Vue, Docker, Kubernetes, CI/CD, and GPU cluster management. • Champion observability, monitoring, and telemetry to ensure trustworthy, auditable, and versioned AI agents in production. • Identify expansion opportunities by working with sales and customer success to uncover high-value use cases across new business domains. • Feed structured field insights back to Platform Engineering and Product on feature gaps, emerging needs, and usability improvements. • Build reusable IP through reference architectures, accelerators, frameworks, and technical best practices that scale future engagements. • Mentor engineers and customer teams, driving knowledge transfer and building internal AI competencies.