Agentic AI Engineer

Quantum Technologies. LLC; Los Angeles (CA); On-site; USD 150,000 - 230,000; Full time

Job summary

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.

Responsibilities

• 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.

Skills

Generative AI

LLMs

RAG

AgentCore

LangGraph

LangChain

AWS Bedrock

Terraform

React

REST APIs

MCP

Tool calling

IaC

Education

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

Tools

AWS Bedrock

LangGraph

LangChain

Terraform

React

MCP

REST APIs

Job description

We are seeking an experienced Agentic AI Engineer to design, develop, and deploy enterprise-grade Generative AI and Agentic AI solutions. The ideal candidate will have deep expertise in building AI-powered applications using AWS Bedrock, AgentCore, LangGraph, LangChain, MCP and Retrieval-Augmented Generation (RAG) architectures.

Key Responsibilities:

• Design and develop autonomous and multi-agent AI systems using AWS AgentCore capabilities
• Build and optimize agent workflows using LangGraph and LangChain.
• Implement planning, reasoning, tool usage, and memory management capabilities within AI agents.
• Design agent-to-agent and agent-to-system interaction patterns.
• Experience of MCP (Model Context Protocol) and tool-calling architectures.
• Build enterprise-scale Retrieval-Augmented Generation (RAG) solutions using AWS Bedrock foundation models and embedding models.
• Design vectorization, indexing, retrieval, re-ranking, and grounding strategies.
• Develop prompt engineering frameworks and evaluation methodologies for GenAI applications.
• Implement conversational AI, knowledge assistants, copilots, and AI-powered automation solutions.
• Integrate Bedrock Guardrails to ensure safety, compliance, and responsible AI practices.
• Design and develop RESTful APIs to expose AI capabilities to enterprise applications.
• Integrate AI agents with business applications, enterprise workflows, databases, and external systems.
• Develop intuitive front-end experiences using React and modern UI frameworks.
• Build scalable and reusable AI services and microservices.
• Deploy and manage AI solutions on AWS using Infrastructure as Code (IaC) principles.
• Develop and maintain infrastructure using Terraform.
• Define best practices, standards, and architectural patterns for GenAI and Agentic AI implementations.
• Collaborate with product owners, architects, data engineers, and business stakeholders.
• Ensure AI solutions adhere to security, governance, compliance, and responsible AI requirements.

Required Qualifications:

• Bachelor's or Master's degree in Computer Science, Engineering, Artificial Intelligence, Data Science, or a related field.
• 3+ years of software engineering experience, including significant experience building AI/ML solutions.
• 2+ years of hands‑on experience with Generative AI, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG) architectures.
• 2+ years of experience designing and implementing Agentic AI or multi‑agent systems.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.