Agentic AI Engineer – Generative AI & Agentic Systems

Robotics Technologies is hiring an Agentic AI Engineer to design and deliver autonomous, multi-agent Generative AI systems and deploy them on AWS in a security- and compliance-focused environment.

Responsibilities

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

Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, Artificial Intelligence, Data Science, or related field
• 7+ years of software engineering experience, including significant experience building AI/ML solutions
• 4+ years hands-on experience with Generative AI, Large Language Models (LLMs), and RAG architectures
• 2+ years experience designing and implementing Agentic AI or multi-agent systems
• Experience deploying production-scale AI applications in cloud environments

Tech Stack

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

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

Location: Chicago, IL (onsite)

Compensation: USD 75 - 75 per hourly