Agentic AI Engineer – Generative AI & Agentic Systems

Ethereum Technologies; Chicago (IL); On-site; USD 83,000 - 124,000; Full time

Job summary

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.

Qualifications

• 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.

Responsibilities

• 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.

Skills

Generative AI

LLMs

RAG

Multi-agent systems

RESTful APIs

Terraform

AWS

GitLab CI/CD

React

Education

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

Tools

LangGraph

LangChain

Bedrock

Terraform

AWS

Job description

Agentic AI Engineer - Generative AI & Agentic Systems

Location:

Chicago, IL

Duration:

9Months+ Extension

Domain Exposure:

Government

Client:

To Be Discussed Later

Employment Type:

W-2, 1099, C2C

Work Authorization:

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

Job Title:Agentic AI Engineer - Generative AI & Agentic Systems

Location: Chicago, IL

Duration: 9 Months + Extension

Bill Rate: $75/hour (C2C)

Job Type: W-2, 1099, C2C

Client: To Be Discussed Later

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

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.
• Implement CI/CD pipelines using GitLab.
• 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.
• 7+ years of software engineering experience, including significant experience building AI/ML solutions.
• 4+ 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.
• Experience deploying production-scale AI applications in cloud environments.

Preferred Qualifications

• Experience building enterprise AI copilots and conversational assistants.
• Experience with advanced orchestration workflows using LangGraph.
• Experience with AI agent evaluation, testing, and benchmarking frameworks.
• Experience with knowledge graph integrations and graph-based reasoning.
• Experience implementing Human-in-the-Loop (HITL) workflows.

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.