Job Description

Job Description

Responsibilities:
 

  • Architect and build autonomous multi-agent systems that reason, plan, and execute complex business workflows end-to-end
  • Select and orchestrate the right models (commercial and open-source) per use case
  • Design the data backbone for agentic solutions: embeddings pipelines, vector DBs, hybrid search, RAG
  • Build secure integrations connecting agents to corporate databases, APIs, and enterprise systems
  • Own the full production lifecycle: cloud deployment with enterprise-grade observability, monitoring, security, and Responsible AI guardrails
  • Lead technical delivery alongside consultants and cross-functional teams; mentor junior engineers



    • Requirements:
  • Min. 6 years commercial experience in Software Engineering or Data Engineering
  • Min. 2–3 years hands-on with LLMs / Generative AI
  • Strong Python; solid SQL
    • <...

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