Agentic AI Engineer – Generative AI & Agentic Systems

Robotics Technologies; Chicago (IL); On-site; USD 85,000 - 121,000; Full time

Job summary

Robotics Technologies in Chicago, IL is seeking an Agentic AI Engineer to design and build autonomous, multi-agent generative AI systems for production use on AWS. This onsite role focuses on end-to-end development of agent workflows, RAG solutions, safety and responsible AI, and API/front-end experiences for enterprise applications.

You’ll deploy scalable services with IaC, Terraform, and GitLab CI/CD, integrating Bedrock Guardrails for governance and compliance as part of the development

Qualifications

• Degree in CS, Engineering, AI, or related field.
• Strong background in Generative AI and multi-agent systems.
• Experience deploying production AI on cloud platforms.

Responsibilities

• Design autonomous, multi-agent AI systems with AWS AgentCore.
• Build agent workflows using LangGraph and LangChain.
• Implement planning, reasoning, tool usage, memory management.
• Develop agent-to-agent and agent-to-system interactions.
• Create enterprise-scale RAG solutions with Bedrock models.
• Own vectorization, indexing, retrieval and grounding strategies.
• Develop RESTful APIs and front-end integrations.
• Ensure safety, governance, and compliance in AI solutions.

Skills

Generative AI

Multi-agent systems

Agentic AI

LLMs

RAG architectures

RESTful APIs

Education

Bachelor’s or Master’s degree

Tools

AWS AgentCore

LangGraph

LangChain

Terraform

GitLab

Bedrock Guardrails

Job description

Robotics Technologies is hiring an Agentic AI Engineer to design and build autonomous, multi-agent generative AI systems for production use on AWS. This onsite role in Chicago, IL focuses on end-to-end development: agent workflows, RAG solutions, safety and responsible AI, and the APIs and front-end experiences that bring these capabilities to enterprise applications.

You’ll work with modern agent tooling and cloud infrastructure, implementing planning, reasoning, tool usage, and memory management, then deploying scalable services using Infrastructure as Code and CI/CD. Security, governance, and compliance are built into the approach through Bedrock Guardrails and responsible AI practices.

What you’ll do

• Design and develop autonomous and multi-agent AI systems using AWS AgentCore capabilities
• Build and optimize agent workflows with LangGraph and LangChain
• Implement agent capabilities including planning, reasoning, tool usage, and memory management
• Design agent-to-agent and agent-to-system interaction patterns, including MCP (Model Context Protocol) and tool-calling architectures
• Develop enterprise-scale RAG solutions using AWS Bedrock foundation models and embedding models
• Own vectorization, indexing, retrieval, re-ranking, and grounding strategies for RAG performance and reliability
• Create prompt engineering frameworks and evaluation methodologies for generative AI applications
• Build conversational AI experiences such as knowledge assistants, copilots, and AI-powered automation
• Integrate Bedrock Guardrails to support safety, compliance, and responsible AI requirements
• Develop RESTful APIs to expose AI capabilities to enterprise applications
• Integrate AI agents with business applications, enterprise workflows, databases, and external systems
• Build front-end experiences using React and modern UI frameworks
• Develop scalable, reusable AI services and microservices, deploy and manage them on AWS using IaC
• Use Terraform for infrastructure and GitLab for CI/CD pipelines
• Define best practices, standards, and architectural patterns for GenAI and agentic AI implementations
• Collaborate with product owners, architects, data engineers, and business stakeholders to deliver aligned solutions
• Ensure AI solutions meet security, governance, compliance, and responsible AI requirements

What you’ll need

• 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 hands‑on experience with Generative AI, LLMs, and RAG architectures
• 2+ years 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

Technologies: AWS AgentCore, LangGraph, LangChain, MCP (Model Context Protocol), AWS Bedrock, React, RESTful APIs, Infrastructure as Code (IaC), Terraform, GitLab, Bedrock Guardrails

Compensation: USD 75 per hour (listed salary range: USD 75 - 75 per hourly)