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KANINI
AI

AI Engineer

KANINI · Colorado, United States

Actively hiring Posted 7 months ago

**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,

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