Automation & AI Developer
- Thomson Reuters
- 3 - 5 years
- Hyderabad
- 7 days ago
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Job Description
Thomson Reuters is a Great Place to Work certified Organization". We are looking for a skilled Automation & AI Developer to design, build, and own intelligent solutions from concept to production. In this role, you will work on agentic AI implementations using AWS AgentCore and LangGraph, contributing to both rapid POCs and live systems.
About the Role
In this role as an Automation & AI Developer, you will:
- Agentic AI Development
- Implement LangGraph agentic workflows on AWS AgentCore state graphs, tool orchestration, conditional routing, error recovery.
- Build custom RAG pipelines end-to-end: chunking strategy, embeddings, vector retrieval, accuracy evaluation.
- Contribute to rapid POC delivery alongside the Architect and Lead.
- Write production-grade Python with FastAPI, Pydantic, testing, and proper error handling.
- Use AI coding tools (Claude Code, GitHub Copilot, Cursor, Cline) to accelerate builds. Own and fix all generated code in production.
- Low Code & Automation
- Build Low Code automations using Microsoft Copilot Studio and Power Automate when use case and bandwidth allow.
- Understand Pro Code vs Low Code trade-offs flag where Low Code is the better fit.
- Stay current on Low Code platform capabilities as they expand rapidly.
- Production Ownership & Collaboration
- Own assigned components in production monitor, debug, optimise, iterate.
- Debug agent failures independently: context issues, tool errors, hallucination, retrieval degradation.
- Collaborate with the Lead on architecture translation and implementation planning.
- Mentor Associate Developers through code reviews and pair programming.
- Work Mode: Hybrid - 3 days from office.
- Shift Timing: 1pm IST to 10pm IST
About You
Youre a fit for the role of Automation & AI Developer, if your background includes:
Must Have:
- Experience 35 years total; 12 years GenAI/LLM; 612 months LangGraph; 23 projects with working code.
- LangGraph State graphs, conditional routing, checkpointing primary framework, non-negotiable.
- LangChain Chains, memory, custom tools solid foundational knowledge.
- AWS AgentCore Hands-on preferred; strong LangGraph depth with ramp path acceptable.
- AWS Bedrock Model invocation, knowledge bases, guardrails.
- Database & AI Data Access SQL proficiency, NL-to-SQL, LLM-powered query and insight patterns. Snowflake a plus.
- RAG Pipelines End-to-end: chunking, embeddings, retrieval, evaluation.
- Vector Databases Pinecone, ChromaDB, OpenSearch, or FAISS hands-on with at least one.
- Python Production-quality type hints, async/await, FastAPI, Pydantic.
- Multi-Model OpenAI, Claude, Gemini, Llama understand trade-offs across providers.
- Pro Code vs Low Code Copilot Studio and Power Automate build when use case fits.
- AI Development Tools Claude Code, GitHub Copilot, Cursor, or Cline accelerate delivery; own and fix all generated code.
Good to Have:
- AWS AgentCore Deep Runtime, Memory, Tools Gateway hands-on.
- MCP / A2A Server/client implementation or protocol awareness.
- Enterprise Integration SAP HANA, Salesforce connectors.
- Document Intelligence OCR, layout-aware chunking.
- Evaluation Frameworks RAGAS, Promptfoo, DeepEval
- Certifications AWS, GCP, or Azure AI/ML.
Job Classification
Industry: Software ProductFunctional Area / Department: Engineering - Software & QARole Category: Software DevelopmentRole: Automation DeveloperEmployement Type: Full timeContact Details:
Company: Thomson ReutersLocation(s): Hyderabad
Keyskills: Agentic Ai Genrative Ai Large Language Model Langgraph Machine Learning AWS Python
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