Automation And Ai Developer

Thomson Reuters

Not specified; not specified; comprehensive benefi...
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Langgraph state graphs and conditional routing
End-to-end rag pipeline development
Production-grade python with fastapi
** Thomson Reuters is seeking an Automation & AI Developer to design and implement intelligent solutions, particularly in agentic AI using AWS technologies. The ideal candidate will have a strong background in LangGraph, Python, and AI development tools, along with a collaborative spirit and a focus on production ownership. **

Job Summary

  • This role involves designing and owning intelligent solutions from concept to production using agentic AI implementations on AWS AgentCore.
  • Candidates will collaborate with architects to deliver rapid POCs while maintaining production-grade code quality and error handling.
  • The company offers a hybrid work model, flexible vacation policies, mental health days, and opportunities for continuous learning in an AI-enabled future.

Matching Summary

Match Score: 75

** Thomson Reuters is seeking an Automation & AI Developer to design and implement intelligent solutions, particularly in agentic AI using AWS technologies. The ideal candidate will have a strong background in LangGraph, Python, and AI development tools, along with a collaborative spirit and a focus on production ownership. **

Salary

Not specified; Not specified; Comprehensive benefit plans including retirement savings and tuition reimbursement

Skills & Requirements

Must-have

  • LangGraph state graphs and conditional routing
  • End-to-end RAG pipeline development
  • Production-grade Python with FastAPI
  • AWS Bedrock model invocation
  • Vector database implementation experience
  • LLM-powered query patterns

Nice-to-have

  • Snowflake database proficiency
  • Copilot Studio and Power Automate skills
  • RAG evaluation frameworks like RAGAS
  • Enterprise integration with SAP or Salesforce
  • OCR and layout-aware chunking knowledge

Key Requirements

  • 3–5 years total professional experience
  • 1–2 years GenAI/LLM experience
  • 6–12 months hands-on LangGraph experience
  • 2–3 projects with working code delivery

Work Rights

Not specified

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