What are the responsibilities and job description for the Generative AI Engineer - Chicago, IL position at Jobs via Dice?
Job Title: Generative AI Engineer
Location: Chicago, IL
Domain: Telecommunications
Duration: Long Term Contract
Looking for W2 Candidates. No C2C
About the Role:
We are hiring a Gen AI Engineer to spearhead the development of next-gen AI solutions in healthcare. You'll work on automating clinical document summarization, patient interaction AI agents, and scalable LLM-based virtual assistants.
Responsibilities Include:
Fine-tuning and deploying LLMs like GPT, Falcon, and LLaMA for healthcare-specific use cases.
Creating agentic AI workflows to assist medical staff with real-time recommendations and documentation.
Building robust pipelines for multimodal inputs including text, audio, and structured data.
Conducting evaluation and ablation studies to ensure accuracy, robustness, and compliance.
Required Skills:
Strong grasp of LLM concepts, vector search, prompt engineering, and embeddings.
Experience using tools like LangChain, CrewAI, Hugging Face Transformers, and Pinecone.
Familiarity with HIPAA compliance and responsible AI use in regulated environments.
Hands-on experience with cloud MLOps pipelines (Azure AI Studio, Databricks, or AWS Bedrock).
Best Regards,
Tarun K
Phone: 1-
Email:
Location: Chicago, IL
Domain: Telecommunications
Duration: Long Term Contract
Looking for W2 Candidates. No C2C
About the Role:
We are hiring a Gen AI Engineer to spearhead the development of next-gen AI solutions in healthcare. You'll work on automating clinical document summarization, patient interaction AI agents, and scalable LLM-based virtual assistants.
Responsibilities Include:
Fine-tuning and deploying LLMs like GPT, Falcon, and LLaMA for healthcare-specific use cases.
Creating agentic AI workflows to assist medical staff with real-time recommendations and documentation.
Building robust pipelines for multimodal inputs including text, audio, and structured data.
Conducting evaluation and ablation studies to ensure accuracy, robustness, and compliance.
Required Skills:
Strong grasp of LLM concepts, vector search, prompt engineering, and embeddings.
Experience using tools like LangChain, CrewAI, Hugging Face Transformers, and Pinecone.
Familiarity with HIPAA compliance and responsible AI use in regulated environments.
Hands-on experience with cloud MLOps pipelines (Azure AI Studio, Databricks, or AWS Bedrock).
Best Regards,
Tarun K
Phone: 1-
Email: