Title: AI Engineer
Location: Nashville TN / Denver CO
Employment Type: Full-time / Contract
Job Summary
We are looking for highly skilled
AI Engineers
with expertise in
Large Language Models (LLMs)
and hands-on experience with advanced AI platforms such as
Gemini 2.5, GitHub Copilot, Glean, and other generative AI tools . The ideal candidate will be able to design, develop, and deploy AI-powered solutions that enhance productivity, accelerate workflows, and drive innovation.
Healthcare industry experience is a
strong plus .
Design and implement AI-driven solutions leveraging
Gemini 2.5, Copilot, Glean , and other LLM-based platforms.
Integrate generative AI tools into enterprise workflows to improve knowledge management, search, and automation.
Collaborate with product, engineering, and data science teams to build scalable AI applications.
Fine-tune and optimize AI/LLM models for specific business and healthcare use cases.
Conduct experiments, perform benchmarking, and ensure high-quality AI deliverables.
Ensure compliance, security, and ethical usage of AI in production.
Stay up to date with the latest advancements in
AI/LLMs, RAG, knowledge graphs, and healthcare AI trends .
Required Skills & Experience
Proven hands-on experience with
Gemini 2.5, GitHub Copilot, Glean , or similar LLM-based tools.
Solid understanding of
LLM architectures, embeddings, and retrieval-augmented generation (RAG) .
Proficiency in
Python, JavaScript/TypeScript, or similar programming languages .
Experience with
cloud platforms (AWS, Azure, GCP)
and AI/ML deployments.
Familiarity with
Vector Databases (Pinecone, Weaviate, FAISS, Milvus, etc.) .
Knowledge of
ML pipelines, APIs, and prompt engineering .
Excellent problem-solving, communication, and collaboration skills.
Preferred Qualifications
Healthcare industry background or prior work on AI/ML healthcare projects
(strong plus).
Experience with
enterprise search systems and AI-driven knowledge management tools .
Exposure to
LangChain, LlamaIndex, Hugging Face, OpenAI API , or similar frameworks.
Hands-on with
AI copilots for development, clinical data processing, or decision support .
Strong understanding of
data privacy and compliance (HIPAA, PHI handling, etc.)
in healthcare.
Thank You,