Agentic AI Engineer – Generative AI & Agentic Systems

Quantum Technologies. LLC; Chicago (IL); Presencial; USD 85.000 - 121.000; Jornada completa

Descripción de la vacante

Quantum Technologies. LLC in Chicago, IL seeks an Agentic AI Engineer specializing in Generative AI and multi-agent systems to design autonomous AI workflows, integrate LangGraph and LangChain, and deploy scalable AI services on AWS.

You will implement MCP, RAG solutions with Bedrock, build REST APIs, and partner with product, data, and security teams to ensure governance and responsible AI. This 9-month+ extension project requires 7+ years of software engineering and 4+ years in GenAI; on-site

Formación

• 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.

Responsabilidades

• 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 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, governance, 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.

Conocimientos

Generative AI

LLMs

RAG architectures

Agentic AI

Cloud deployments

REST APIs

Educación

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

Herramientas

LangGraph

LangChain

AWS Bedrock

Terraform

GitLab

React

Descripción del empleo

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, H-1B, OPT-EAD, CPT, Other
• 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.