Senior Agentic AI Engineer for GenAI & Multi-Agent Apps

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

Job summary

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

Responsibilities include planning, tool-use, memory management, API exposure, and front-end work with React. You will collaborate with stakeholders to ensure security, governance, and compliance across deployments.

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.

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.

Skills

Generative AI

LLMs

Multi-agent systems

Education

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

Tools

AWS Bedrock

AgentCore

LangGraph

LangChain

MCP

RAG architectures

Terraform

RESTful APIs

React

Job description

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

Responsibilities include planning, tool-use, memory management, API exposure, and front-end work with React. You will collaborate with stakeholders to ensure security, governance, and compliance across deployments.