Automation And Ai Developer

Thomson Reuters

Hybrid
Langgraph agentic workflows
Custom rag pipelines end-to-end
Production-grade python with fastapi
Implement LangGraph agentic workflows on AWS AgentCore, build custom RAG pipelines, and write production-grade Python with FastAPI

Job Summary

  • Implement LangGraph agentic workflows on AWS AgentCore, build custom RAG pipelines, and write production-grade Python with FastAPI.
  • Own assigned components in production, monitor, debug, optimize, iterate, and debug agent failures independently.
  • Thomson Reuters offers a hybrid work model, flexibility and work-life balance, career development, competitive benefits, and a culture of inclusion and belonging.

Matching Summary

Implement LangGraph agentic workflows on AWS AgentCore, build custom RAG pipelines, and write production-grade Python with FastAPI.

Skills & Requirements

Must-have

  • LangGraph agentic workflows
  • custom RAG pipelines end-to-end
  • production-grade Python with FastAPI
  • AWS AgentCore
  • AWS Bedrock
  • Vector Databases
  • Multi-Model AI understanding

Nice-to-have

  • Low Code automations
  • enterprise integration
  • document intelligence
  • AI/ML certifications

Key Requirements

  • 3-5 years total experience
  • 1-2 years GenAI/LLM experience
  • 6-12 months LangGraph experience
  • 2-3 projects with working code
  • SQL proficiency
  • Pro Code vs Low Code understanding

Work Rights

Not specified

Tailored Resume

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