Medium
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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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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