Agentic AI Engineer - Generative & Multi-Agent Systems

Ethereum Technologies; Chicago (IL); In loco; USD 83.000 - 124.000; Tempo pieno

Descrizione del lavoro

Ethereum Technologies seeks an Agentic AI Engineer in Chicago, IL to design and develop autonomous AI systems and agent workflows using AWS AgentCore, LangGraph, and LangChain. The role focuses on planning, tool usage, memory management, and enterprise-scale RAG solutions with Bedrock foundation models.

You will implement agent interactions, RESTful APIs, and front-end experiences in React, while deploying scalable AI services on AWS with Terraform and GitLab CI/CD.

Competenze

• Bachelor's or Master's degree in CS, Engineering, AI, Data Science, or related field.
• 7+ years of software engineering, with significant AI/ML solutions experience.
• 4+ years with Generative AI, LLMs, and RAG architectures.
• 2+ years designing Agentic AI or multi-agent systems.
• Experience deploying production AI in cloud environments.

Mansioni

• Design and develop autonomous multi-agent AI systems using AWS AgentCore capabilities.
• Build and optimize agent workflows with LangGraph and LangChain.
• Implement planning, reasoning, tool usage, and memory management in AI agents.
• Design agent-to-agent and agent-to-system interaction patterns.
• Experience with MCP and tool-calling architectures.
• Develop enterprise-scale Retrieval-Augmented Generation (RAG) using Bedrock models.
• Design vectorization, indexing, retrieval, re-ranking, and grounding strategies.
• Develop prompt engineering frameworks and evaluation methodologies for GenAI.
• Implement conversational AI, knowledge assistants, copilots, and AI-powered automation.
• Integrate Bedrock Guardrails for safety, governance, and responsible AI.
• Design RESTful APIs to expose AI capabilities.
• Integrate AI agents with enterprise apps, workflows, databases, and external systems.
• Develop front-end experiences using React and modern UI frameworks.
• Build scalable AI services and microservices.
• Deploy AI solutions on AWS using IaC (Terraform).
• Develop infrastructure with Terraform.
• Implement CI/CD pipelines using GitLab.
• Define best practices and patterns for GenAI and Agentic AI.
• Collaborate with product owners, architects, data engineers, and stakeholders.
• Ensure AI solutions meet security and compliance requirements.

Conoscenze

Generative AI

LLMs

RAG

Multi-agent systems

RESTful APIs

Terraform

AWS

GitLab CI/CD

React

Formazione

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

Strumenti

LangGraph

LangChain

Bedrock

Terraform

AWS

Descrizione del lavoro

Ethereum Technologies seeks an Agentic AI Engineer in Chicago, IL to design and develop autonomous AI systems and agent workflows using AWS AgentCore, LangGraph, and LangChain. The role focuses on planning, tool usage, memory management, and enterprise-scale RAG solutions with Bedrock foundation models.

You will implement agent interactions, RESTful APIs, and front-end experiences in React, while deploying scalable AI services on AWS with Terraform and GitLab CI/CD.