Lead Agentic AI Engineer - GenAI & RAG for Enterprise

Quantum Technologies. LLC; Los Angeles (CA); Sur place; USD 150 000 - 230 000; Plein temps

Résumé du poste

Quantum Technologies. LLC seeks an experienced Agentic AI Engineer to design, develop, and deploy enterprise-grade generative and agentic AI solutions.

You will build autonomous multi-agent systems using AWS AgentCore, LangGraph, and LangChain, implementing planning, reasoning, tool usage, and memory management. Responsibilities include designing agent interactions, RAG architectures, vectorization, and grounding strategies, plus developing RESTful APIs and React front-ends for enterprise

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, AI, Data Science, or related field.
• 3+ years software engineering experience, including AI/ML solutions.
• 2+ years hands-on with Generative AI, LLMs, and RAG architectures.
• 2+ years experience designing and implementing Agentic AI or multi-agent systems.

Responsabilités

• Design and develop autonomous multi-agent AI systems using AWS AgentCore.
• Build and optimize agent workflows with LangGraph and LangChain.
• Implement planning, reasoning, tool usage, and memory management for AI agents.
• Design agent-to-agent and agent-to-system interaction patterns.
• Develop enterprise-scale Retrieval-Augmented Generation solutions using AWS Bedrock models.
• Create vectorization, indexing, retrieval, re-ranking, and grounding strategies.
• Develop prompt engineering frameworks and evaluation methodologies for GenAI apps.
• Integrate Bedrock Guardrails for safety, governance, and responsible AI.

Connaissances

Generative AI

LLMs

RAG

AgentCore

LangGraph

LangChain

AWS Bedrock

Terraform

React

REST APIs

MCP

Tool calling

IaC

Formation

Bachelor's or Master's in CS/Engineering/AI/Data Science

Outils

AWS Bedrock

LangGraph

LangChain

Terraform

React

MCP

REST APIs

Description du poste

Quantum Technologies. LLC seeks an experienced Agentic AI Engineer to design, develop, and deploy enterprise-grade generative and agentic AI solutions.

You will build autonomous multi-agent systems using AWS AgentCore, LangGraph, and LangChain, implementing planning, reasoning, tool usage, and memory management. Responsibilities include designing agent interactions, RAG architectures, vectorization, and grounding strategies, plus developing RESTful APIs and React front-ends for enterprise