GenAI Agent Engineer

Overview

AHEAD builds platforms for digital business by integrating advances in cloud infrastructure, automation, analytics, and software delivery to support digital transformation. We emphasize a culture of belonging where every voice is heard.

Role Description

The GenAI Agent Engineer will build the core intelligence powering the Agent Runtime and Orchestration layers. The role involves designing, developing, and optimizing autonomous and semi-autonomous agents using technologies like Bedrock, LangChain/LangGraph, vector search, and structured tool-calling.

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 vector databases like OpenSearch, pgvector, Pinecone, Qdrant, and DynamoDB vector index
• Implement prompt design and evaluation sets along with Bedrock APIs, guardrails, and VPC endpoint access

Qualifications

• Strong Python and LangChain/LangGraph engineering skills
• Production experience with LLM agents and tool calling
• Deep experience with RAG pipelines
• Familiarity with multiple vector databases
• Academic background in Computer Science or Software Engineering; advanced NLP/ML/AI coursework is preferred

Benefits

Along with competitive on-target earnings ($170,000 - $200,000/year), USA employment benefits include medical, dental, vision insurance, 401(k), paid holidays, paid time off, and parental/caregiver leave. More details are available at AHEAD Benefits.

Key Skills/Competency

• Python
• LangChain
• Bedrock
• Agent Systems
• RAG Pipelines
• Vector Databases
• Tool Calling
• Prompt Design
• API Development
• NLP