KANINI
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,
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,