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Mid-level GenAI role in metro with common experience band and moderate employer brand, yielding medium competition.
Core GenAI skills are transferable but healthcare domain knowledge is required, producing medium background sensitivity.
Multiple explicit years plus specialized GenAI, RL and production ML stack requirements create high shortlisting strictness.
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Develop and implement Generative AI (GenAI) techniques and machine learning algorithms specifically focused on healthcare domain problems, leveraging LLMs with RAG/knowledge base and reinforcement learning/fine-tuning.
Lead efforts towards GenAI knowledge base retrieval augmented generation (RAG) and reinforcement learning applications in healthcare products and solutions.
Build and maintain data pipelines for healthcare datasets, conduct statistical evaluations, benchmark solutions, and containerize AI solutions for team use.
3-5 years professional experience with Master’s degree or higher; alternatively, Bachelor’s degree with 3-5 years experience in relevant fields such as computer science, mathematics, statistics, physics, electrical or computer engineering from tier 1 colleges.
Strong hands-on experience with Python, PyTorch, Huggingface, pandas, numpy, pyplot, scikit-learn, as well as proficiency in Agentic AI frameworks like langchain, langgraph, deep_agents.
Expertise in knowledge base retrieval augmented generation (RAG), LLM reinforcement learning or fine-tuning with libraries such as TRL, unsloth, and deepspeed.
Proficiency in containerization (docker), version control (git), and the ability to translate healthcare domain problems into technical AI solutions.
Technically strong in Agentic AI, GenAI LLM modeling, knowledge base RAG, and LLM reinforcement learning/fine-tuning, able to lead company initiatives in these areas.
Experienced in healthcare domain AI projects, capable of collaborating effectively with domain experts and non-technical stakeholders to formulate and solve operational problems.
Skilled in developing scalable, production-quality AI code and solutions with strong analytical and problem-solving skills, capable of working independently and as part of a team.