GenAI Agent Engineer

The GenAI Agent Engineer will build the core intelligence powering the Agent Runtime and Orchestration layers.

They will also design, develop andoptimizeautonomous and semi-autonomous agents using Bedrock,LangChain/LangGraph, vector search, and structured tool-calling.

Responsibilities

• Build single and multi-agent systems usingLangChain/LangGraphwith 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 vector databases: OpenSearch,pgvector, Pinecone,Qdrant, DynamoDB vector index.
• Implement prompt design and evaluation sets.
• Integrate Bedrock APIs, guardrails, and VPC endpoint access.

Qualifications

• Strong Python andLangChain/LangGraphengineering.
• Production experience with LLM agents and tool calling.
• Deep RAG experience.
• Familiarity with multiple vector databases.
• Strongreasoning-patterncompetency.
• Minimum Required –in Computer Science, Software Engineering.
• Preferred –Advanced coursework or certification in NLP, ML, or AI frameworks.

$170,000 - $200,000 a year

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