Senior AI Engineer
Core
Architect, build, and implement AI platforms and agentic systems (Abacus Agents, MCP, RAG) to enable GenAI use cases for healthcare data automation and decision workflows.
Role type
Senior IC AI Engineer (Applied AI & Platform Architecture)
Builds
Production GenAI products, scalable ML/AI pipelines, and backend systems for data preprocessing, feature engineering, and model training.
Domain
Healthcare data + Generative AI + Distributed Systems
Deliverable
production ML models | product features | infrastructure
Required skills
Generative AI & LLM techniques, Fine-tuning & pre-training, RAG & SQL agents, Agentic workflows & orchestration, Python, TensorFlow/PyTorch, Distributed systems design, Cloud architecture, MPP compute frameworks, Software engineering fundamentals, Team leadership & mentorship
Preferred skills
Snowflake, FHIR, Healthcare data domain knowledge
Technologies
Databricks, Mosaic AI Gateway, Python, TensorFlow, PyTorch, SQL, MCP, RAG
Responsibilities
Shape direction of applied AI areas and intelligence features, Develop novel data collection and fine-tuning techniques, Design and implement ML/AI pipelines, Build scalable backend systems for GenAI products, Mentor and coach software and AI developers, Represent Abacus in customer-facing technical conversations
Seniority
Senior, hands-on IC with leadership responsibilities
