AI / ML Engineer

• AI Solution Development
  • Develop and implement AI/ML, Generative AI & Agentic solutions for business use cases.
  • Build applications using LLMs, RAG, AI Agents, copilots, and intelligent automation frameworks.
  • Support model development, evaluation, deployment, and monitoring activities.
• Data & AI Engineering
  • Build and maintain data pipelines, embeddings pipelines, and vector databases.
  • Prepare, transform, and validate data for AI/ML workloads.
  • Integrate AI services with enterprise applications and APIs. 
• Platform & Operations
  • Support MLOps and LLMOps processes including deployment, monitoring, and performance optimization.
  • Develop reusable components, prompts, workflows, and AI accelerators.
  • Contribute to AI platform enhancements and automation initiatives. 
• Collaboration & Innovation
  • Work with cross-functional teams to define requirements and deliver AI solutions.
  • Evaluate emerging AI technologies, models, and frameworks.
  • Follow AI governance, security, and Responsible AI guidelines. 
     

• Required Skills
  • Python and software development fundamentals
  • Machine Learning, NLP, and data analytics concepts
  • LLMs, Prompt Engineering, RAG, and AI Agent frameworks
  • LangChain, LangGraph, LlamaIndex, or similar frameworks
  • SQL, APIs, and data integration
  • Docker, Git, CI/CD fundamentals
  • AWS, Azure, or GCP exposure

Qualifications

• 3–10 years of overall experience in software development, data engineering, AI/ML, or analytics

• 3+ years of hands-on experience in AI/ML and/or Generative AI solutions 
   

  What's in It for You

• Work on one of the most technically exciting frontiers in enterprise software — building AI agents and Virtual Companions that operate within the product engineering workflows
• Work at the intersection of deep PLM domain expertise and AI-augmented engineering; a rare combination that will define the highest-value development of the decade.
• Contribute to products used by global industry leaders across 12 sectors, directly influencing how major manufacturers design and build the products we all use.
• Grow in an environment that values engineering craft, domain curiosity, and AI fluency equally; not just raw coding.
• Collaborate with engineering colleagues across the globe as part of a world-class PLM organization.
  • Be part of a team actively shaping how AI is integrated into enterprise product engineering - from the inside.