Generative AI Engineer-Chicago, IL

Overview

On Site
$DOE
Contract - W2
Contract - Of Contract

Skills

Python
AWS
Azure
LangChain
Vertex AI

Job Details

Job Title: Generative AI Engineer
Location: Chicago, IL
Domain: Healthcare
Duration: Long Term Contract
Looking for W2 Candidates. No C2C

Role Description:

We are seeking an innovative and experienced Generative AI Engineer to architect and build state-of-the-art AI applications using LLMs and agentic workflows. You will work on mission-critical systems that blend artificial intelligence, autonomous agents, retrieval-based pipelines, and human-in-the-loop mechanisms. This is a hands-on engineering role with a focus on building production-ready AI systems that can reason, generate content, and autonomously interact with enterprise data and tools.

Key Responsibilities:

  • Design, build, and deploy scalable LLM-powered applications and agent-based systems
  • Build and integrate retrieval-augmented generation (RAG) pipelines for contextual awareness
  • Implement LLM orchestration with tools like LangChain, LLamaIndex, or Semantic Kernel
  • Engineer autonomous agent workflows using CrewAI, LangGraph, or custom frameworks
  • Manage vector databases and embedding generation using FAISS, Pinecone, Chroma
  • Apply prompt engineering, model tuning, and system instructions to optimize LLM output
  • Develop APIs and microservices to integrate GenAI tools into internal/external platforms
  • Collaborate with data scientists, MLOps, and DevSecOps teams for secure model deployment
  • Monitor AI model health, performance, drift, and enforce compliance with governance standards

Required Qualifications:

  • 5+ years of hands-on experience in ML/AI engineering; 2+ years in Generative AI or LLMs
  • Proficient in Python, Transformers, LangChain, and LLM APIs (OpenAI, Claude, Mistral, Cohere, etc.)
  • Experience with embedding techniques, vector search, and semantic retrieval
  • Hands-on with cloud platforms (Azure, AWS, or Google Cloud Platform) and AI tooling (Vertex AI, Azure AI Studio)
  • Strong background in deploying scalable GenAI solutions in production environments
  • Expertise in AI observability, bias mitigation, and ethical AI implementations
  • Excellent communication skills to translate AI capabilities to non-technical stakeholders

Preferred Skills:

  • Knowledge of PEFT, LoRA, quantization, and RLHF
  • Experience with CI/CD for ML/AI, Docker/Kubernetes, and infrastructure as code
  • Familiarity with multi-modal AI, vision-language models, or speech models
  • Experience working in regulated industries like finance, insurance, or healthcare

Best Regards:

Tina
Phone:
Email:

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