Lead Agentic AI Engineer for GenAI & Multi-Agent Systems

Machine Learning Technologies, LLC; Los Angeles (CA); On-site; USD 140,000 - 210,000; Full time

Job summary

Machine Learning Technologies, LLC seeks an experienced Agentic AI Engineer to design, develop, and deploy enterprise-grade GenAI and agentic AI solutions using AWS Bedrock and cutting-edge frameworks. You will build autonomous multi-agent systems, enable planning, tool usage, and memory management, and implement robust interaction patterns across agents and systems.

Responsibilities include creating RAG pipelines, embedding retrieval, designing vectorization and grounding strategies, and

Qualifications

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

Responsibilities

• Design and develop autonomous and multi-agent AI systems
• Build and optimize agent workflows using LangGraph and LangChain
• Implement planning, reasoning, tool usage, and memory management in AI agents
• Design agent-to-agent and agent-to-system interaction patterns
• Develop Retrieval-Augmented Generation (RAG) solutions using AWS Bedrock
• Develop and maintain infrastructure using Terraform and IaC practices
• Create RESTful APIs to expose AI capabilities to enterprise apps
• Integrate AI agents with business apps, workflows, databases, and external systems
• Develop front-end experiences using React and modern UI frameworks
• Collaborate with product owners, architects, and data engineers
• Ensure AI solutions meet security, governance, and compliance standards

Skills

Software engineering

Generative AI

Agentic AI / multi-agent systems

RESTful APIs design

Education

Bachelor's or Master's degree in Computer Science/Engineering/Artificial Intelligence/Data Science

Tools

AWS Bedrock

AgentCore

LangGraph

LangChain

MCP

RAG architectures

Terraform

Job description

Machine Learning Technologies, LLC seeks an experienced Agentic AI Engineer to design, develop, and deploy enterprise-grade GenAI and agentic AI solutions using AWS Bedrock and cutting-edge frameworks. You will build autonomous multi-agent systems, enable planning, tool usage, and memory management, and implement robust interaction patterns across agents and systems.

Responsibilities include creating RAG pipelines, embedding retrieval, designing vectorization and grounding strategies, and