AI/ML Engineer

The Opportunity

We’re hiring an AI/ML Engineer to help build and scale the infrastructure behind Savant’s clinical data structuring platform. In this role, you’ll work at the intersection of LLMs, applied machine learning, and healthcare data to develop production-grade pipelines that extract structured insights from messy, high-stakes records. This is a high-impact engineering role with full-stack exposure - from prototyping model workflows to deploying scalable inference systems. You’ll work closely with our product, clinical, and engineering teams to continuously improve model performance and delivery quality.

If you’re excited to build real-world applications of LLMs, shape how AI gets deployed in healthcare, and operate with ownership in a fast-paced startup environment, we’d love to hear from you.

What We're Looking For

• 3+ years of hands-on experience building and deploying ML/AI systems
• Strong Python development skills, including experience with production-quality ML codebases
• Familiarity with modern ML/NLP frameworks (e.g., PyTorch, Hugging Face, spaCy)
• Experience working with large-scale unstructured or semi-structured data
• Practical knowledge of LLMs: prompt engineering, evaluation, fine-tuning, observability
• Comfort working in fast-paced, ambiguous environments where iteration is key
• Clear communicator with a collaborative mindset

Bonus Points For

• Experience working with clinical or healthcare data (EMRs, registries, imaging, labs, etc.)
• Familiarity with model evaluation tooling, quality benchmarking, and drift detection
• Exposure to data privacy or compliance frameworks (HIPAA, de-ID workflows, etc.)
• Experience in an early-stage startup or small, fast-moving technical team

Why Join Us

Full-Stack AI Impact: Contribute across the ML lifecycle, from data to deployment

Product-Embedded Work: Your contributions will ship as part of a real product, not just R&D

Tight Collaboration: Work directly with cross-functional partners across clinical, product, and engineering

Mission-Driven: Help unlock better healthcare by solving foundational data problems