Builds the core intelligence powering the Agent Runtime and Orchestration layers. Designs, develops, and optimizes autonomous and semi-autonomous agents using Bedrock, LangChain/LangGraph, vector search, and structured tool-calling.
Key Responsibilities
Build single and multi-agent systems using LangChain/LangGraph with Bedrock.
Implement RAG pipelines including chunking, embedding, metadata, retrieval tuning, and query rewriting.
Create agent tools such as APIs, SQL queries, and ETL triggers.
Integrate Bedrock APIs, guardrails, and VPC endpoint access.
Education
Minimum Required Bachelor''s in Computer Science, Software Engineering
Preferred Advanced coursework or certification in NLP, ML, or AI frameworks
Skills Required
4+ years of hands-on experience to build production-grade LLM agents, RAG systems, LangChain/LangGraph pipeline
Strong Python and LangChain/LangGraph engineering.
Production experience with LLM agentsand tool calling.
Deep RAG experience.
Familiarity with multiple vector databases.
Strong reasoning-pattern competency.
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Engineering - Software & QARole Category: Software DevelopmentRole: Head - EngineeringEmployement Type: Full time