Senior AI Engineer

Skills

Full-Stack DevelopmentContextContinuous ImprovementDatabasesHealthcareLarge Language ModelsSemantic Search

Role

What the job involves

The main requirements, responsibilities and hiring steps.

2+ years of software engineering experience building testing and maintaining production systems
1+ year building with LLMs agentic AI or production AI systems beyond simple chatbot use cases
Strong Python and/or TypeScript skills with backend services APIs integrations data flows or full-stack features
Experience with modern frontend or full-stack development using React Next.js TypeScript Node.js or similar
Experience with retrieval tool use workflow orchestration structured outputs context management or multi-step execution
Familiarity with agentic frameworks and orchestration tools such as LangGraph CrewAI OpenAI Agents SDK or similar
Familiarity with RAG systems vector databases semantic search retrieval infrastructure model serving or knowledge pipelines
Familiarity with cloud-native development containerized services Kubernetes CI/CD workflows or scalable production environments
Strong debugging communication and collaboration skills with ability to work through ambiguity and make steady progress

Build frontend interfaces backend services APIs integrations and data flows that make AI useful in patient clinician and internal workflows
Develop agentic AI systems with reasoning tool use retrieval memory and multi-step execution for healthcare problems
Create and maintain RAG pipelines ingestion workflows retrieval tuning semantic search and knowledge quality improvements
Implement evaluation frameworks automated tests regression checks quality metrics guardrails fallback flows and observability for production AI systems
Collaborate with senior engineers product clinical design and data partners to translate real workflows into safe reliable AI-powered experiences