Senior AI Engineer
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Job Description
Senior AI Engineer building and shipping LLM-powered pipelines for a healthcare AI company. Owning AI architecture and ensuring quality in production systems.
Responsibilities:
- Architect and ship LLM-powered pipelines that automate complex multi-step clinical decision workflows end-to-end
- Build and maintain back-end services in Python that integrate directly with enterprise health systems (FHIR, HL7, EDI)
- Own the quality and reliability of AI outputs through evaluation frameworks, structured outputs, and production monitoring
- Drive integrations with external enterprise environments, handling compliance constraints and audit requirements that come with healthcare data
- Translate requirements from product and customer success teams into scoped technical solutions, working directly with non-technical stakeholders when needed
- Operate across the stack from RAG and document pipelines through to cloud infrastructure and observability tooling
Requirements:
- 5+ years of software engineering experience, with at least 2 years shipping AI/ML systems in production (not research or internal tooling)
- Hands-on experience building and deploying LLM applications: prompt engineering, RAG pipelines, fine-tuning, eval harnesses
- Strong Python back-end skills: FastAPI, async patterns, typing, pytest
- Experience with cloud infrastructure on AWS, GCP, or Azure
- Proven ability to work with enterprise integration requirements including compliance, auditability, and security constraints
- Comfortable scoping and communicating technical solutions directly with clients or non-technical stakeholders.
Benefits:
- Competitive — share your expectations when you apply.
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