Generative AI Engineer
Generative AI Engineer
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1 Vacancy
Job Description
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 GCP) 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: 1-
Email:
Employment Type
Full-time
