Senior / Staff AI Engineer - Healthcare AI

About the Company

We’re partnered with a leading healthcare investment firm who are building a next-generation Intelligence team focused on applying AI across its portfolio of operating companies. The firm invests at every stage of healthcare innovation and is known for combining deep sector expertise with a strong commitment to technological advancement.

This newly formed team sits at the intersection of investment, technology, and operational excellence. Their mission is to develop and deploy AI solutions that drive measurable business value across a diverse portfolio – from streamlining internal operations to enhancing decision-making and uncovering new growth opportunities.

The Role

As a Senior / Staff AI Engineer, you’ll play a hands-on role in building and scaling advanced AI solutions. You’ll work closely with portfolio company founders, executives, and the central investment team to design, prototype, and deploy real-world systems that leverage Generative AI, LLMs, and NLP technologies.

This is a unique opportunity to combine technical depth with strategic impact – turning emerging AI capabilities into tangible outcomes across multiple industries.

Key Responsibilities

• Design, build, and deploy production-grade AI systems using LLMs, generative models, and NLP frameworks
• Develop prototypes and evaluate new machine learning models, frameworks, and toolsets
• Collaborate with investment and operating teams to identify and implement AI-driven opportunities
• Build infrastructure for prompt engineering, RAG pipelines, and model fine-tuning
• Partner with software engineers to integrate AI functionality into scalable products and platforms
• Stay current on AI research and emerging technologies, applying them in practical business contexts

About You

• 5+ years of experience in AI/ML engineering, research, or applied data science
• Expert proficiency in Python and modern AI frameworks
• Deep understanding of NLP, generative models, and deep learning architectures
• Experience working with large, unstructured datasets and distributed cloud environments
• Proven ability to independently design, implement, and deliver end-to-end AI solutions

Preferred:

• Background applying AI in healthcare, finance, or scientific domains
• Familiarity with Databricks, PySpark, or production-scale ML pipelines
• Experience with LLM fine-tuning, vector databases, and API-based integrations
• Contributions to open-source projects or published research in relevant fields

Why Apply

• Be part of a high-impact team with autonomy to build and innovate
• Apply the latest AI advancements to real-world challenges across healthcare and beyond
• Collaborate with leading executives, founders, and investment professionals
• Competitive compensation, benefits, and long-term growth potential