AI Engineer building generative and agentic AI solutions for Trillium Health Partners’ hospital workflows. Connecting intelligent agents to clinical systems and scaling responsible healthcare automation.
About the role
- Staff AI Architect focused on building and scaling advanced AI systems in a remote setting. Collaborating across teams to deliver high-performance, production-ready AI infrastructure.
Responsibilities
- Architect and maintain Python-based services using FastAPI for internal and customer-facing AI use cases
- Build and scale secure, well-structured API endpoints that interface with LLMs, vector stores, and agentic tools
- Implement orchestration logic and tool chaining for advanced agent workflows
- Optimize service performance and latency across AI infrastructure layers
- Collaborate with frontend, AI, and devops teams to ensure system-wide reliability and observability
- Set up robust test coverage and CI pipelines for backend services
- Contribute to our modular architecture for tool-based reasoning agents
- Stay current with emerging trends in AI engineering, LLM integrations, and scalable backend systems
Requirements
- 3+ years of experience as a full-stack engineer, building scalable backend systems in Python
- Strong knowledge of Flask for building and scaling product grade APIs
- Experience with LLM orchestration frameworks (e.g., LiteLLM) and integrating OpenAI or similar
- Familiarity with vector databases, embeddings, and RAG patterns
- Experience building and maintaining infrastructure that integrates with frontends, CLIs, and external APIs
- Comfortable with GitHub, Docker, and CI/CD tooling (e.g., GitHub Actions)
- Proficiency in writing robust, tested, and well-documented backend code
Benefits
- Project Completion bonuses
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