Agentic AI Engineer

Quantum Technologies. LLC; Santa Clara (CA); On-site; USD 140,000 - 190,000; Full time

Job summary

Quantum Technologies. LLC seeks an experienced Agentic AI Engineer to design, develop, and deploy enterprise-grade GenAI solutions. You will work with AWS Bedrock, AgentCore, LangGraph, LangChain, MCP, and RAG architectures to build scalable AI systems.

You will implement memory, planning, tool usage, and agent interactions, develop RESTful APIs, and deploy on AWS using Terraform and IaC. Collaboration with product and data teams is essential to deliver compliant, secure AI across enterprise

Qualifications

• 3+ years of software engineering experience building AI/ML solutions.
• 2+ years of experience with Generative AI, LLMs, and RAG architectures.
• 2+ years designing and implementing Agentic AI or multi-agent systems.

Responsibilities

• Design and develop autonomous multi-agent AI systems.
• Build agent workflows using LangGraph and LangChain.
• Implement planning, tool usage, and memory management for AI agents.
• Design agent-to-agent and agent-to-system interaction patterns.
• Experience with MCP and tool-calling architectures.
• Develop RAG solutions using AWS Bedrock and embeddings.
• Design vectorization, indexing, retrieval, and grounding strategies.
• Develop prompt-engineering frameworks and evaluation methodologies.
• Implement conversational AI, knowledge assistants, copilots, and AI-powered automation.
• Integrate Bedrock Guardrails for safety and compliance.
• Design RESTful APIs to expose AI capabilities.
• Integrate AI agents with enterprise apps and databases.
• Develop front-end experiences using React and modern UI frameworks.
• Build scalable AI services and microservices.
• Deploy on AWS using Terraform and IaC.

Skills

Generative AI

LLMs

Multi-agent systems

AWS Bedrock

LangGraph/LangChain

Education

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

Tools

AWS Bedrock

AgentCore

LangGraph

LangChain

MCP

Terraform

RESTful APIs

React

Job description

US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, Other

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.