Automation and AI Developer

Reuters; Bengaluru, Hyderabad; Hybrid; INR 1,800,000 - 2,400,000; Full time

Benefits offered by this job

Hybrid work model

Hybrid on-site schedule: 1pm–10pm IST

Job summary

Reuters is seeking an Automation & AI Developer to design, build, and own intelligent AI solutions in a hybrid setup across Bengaluru and Hyderabad. You will implement LangGraph workflows on AWS AgentCore, craft end-to-end RAG pipelines, and deliver production-grade Python services using FastAPI and Pydantic.

The role emphasizes collaboration with architects, rapid POC delivery, and mentoring junior developers, with a 3-day-from-office hybrid schedule and an IST shift from 1pm to 10pm.

Qualifications

• 3–5 years total experience in automation & AI development.
• Hands-on with LangGraph & AWS AgentCore in production.
• Proficient Python development with FastAPI & Pydantic.
• AWS AgentCore — hands-on; strong LangGraph depth.
• AWS Bedrock — model invocation, knowledge bases, guardrails.
• Python — production-ready: type hints, async/await, FastAPI, Pydantic.
• AI development tools — Claude Code, GitHub Copilot, Cursor, Cline.
• Pro Code vs Low Code — Copilot Studio and Power Automate; use where fit.

Responsibilities

• Implement LangGraph agentic workflows on AWS AgentCore including state graphs and tool orchestration.
• Build end-to-end RAG pipelines: chunking, embeddings, retrieval, evaluation.
• Develop production-grade Python services with FastAPI, typing, and error handling.
• Collaborate with architects and leads on architecture translation and planning.
• Mentor associates through code reviews and pair programming.
• Collaborate on architecture translation and implementation planning with the Lead.
• Mentor Associate Developers through code reviews and pair programming.
• Monitor, debug, and optimize assigned components in production; fix agent failures.

Skills

LangGraph

LangChain

Python

SQL

NL-to-SQL

RAG pipelines

Pydantic

SQL

NL-to-SQL

RAG pipelines

Vector DBs

OpenAI

Claude

Gemini

Llama

Copilot Studio

Power Automate

Code reviews

Testing

Error handling

Tools

AWS AgentCore

AWS Bedrock

FastAPI

Pydantic

OpenAI / Claude / Gemini / Llama

Vector DBs (Pinecone/ChromaDB/OpenSearch/FAISS)

GitHub Copilot

Copilot Studio / Power Automate

FAISS

Job description

## Automation and AI DeveloperApply: Hybrid: India, Bengaluru, Karnataka: India, Hyderabad, Telangana: Full time: Posted Today: End Date: September 5, 2026 (4 days left to apply): JREQ201915Thomson 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:*** 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.* 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.* 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****You’re a fit for the role of Automation & AI Developer, if your background includes:*** **Experience** — 3–5 years total; 1–2 years GenAI/LLM; 6–12 months LangGraph; 2–3 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.* **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.#LI-GS2