AI/ML Engineer

This is a remote position.

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 .

Key Responsibilities

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.