AI & LLM Engineer

Job Summary

Join the Digital Transformation Team to build enterprise-grade AI capabilities that power intelligent applications across manufacturing. You will design, implement and continuously improve LLM-based applications, AI Agents, RAG pipelines and production AI services while working closely with AI Solution Architects and manufacturing domain experts.

Key Responsibilities

  • Develop production-grade AI Agents and LLM applications.
  • Build and maintain RAG pipelines and enterprise knowledge bases.
  • Develop Text-to-SQL and AI workflow capabilities.
  • Implement structured outputs, guardrails and evaluation pipelines.
  • Integrate AI services with enterprise applications and databases.
  • Collaborate with AI Solution Architects to implement solution designs.
  • Continuously improve AI quality, latency and reliability.

Requied Qualifications

  • BS/MS in Computer Science or related field.
  • 3+ years of software or AI engineering experience.
  • Strong Python programming skills.
  • Hands-on experience with LLM application development.
  • Experience with SQL and REST APIs.
  • Good communication and teamwork.

Key Technical Skills

  • Develop production-grade AI Agents and LLM applications.
  • Build and maintain RAG pipelines and enterprise knowledge bases.
  • Develop Text-to-SQL and AI workflow capabilities.
  • Implement structured outputs, guardrails and evaluation pipelines.
  • Integrate AI services with enterprise applications and databases.
  • Collaborate with AI Solution Architects to implement solution designs.
  • Continuously improve AI quality, latency and reliability.

Nice to Have

  • LangGraph / PydanticAI / OpenAI Agents SDK
  • Computer Vision
  • MCP (Model Context Protocol)
  • Manufacturing systems knowledge
  • Production AI deployment experience

See also

AI Engineering jobs by country — openings, pay and top skills →

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