Senior AI Backend Engineer

• Build and maintain reliable, scalable backend services to support AI agent execution and orchestration
• Develop AI agent systems for complex operational workflows using LangChain, LangGraph, LiteLLM, and Langfuse
• Orchestrate a hybrid model stack that includes OpenAI and Google Gemini alongside self-hosted and fine-tuned LLMs like Gemma and Llama
• Build and maintain integrations with clinical systems (FHIR, EMR)
• Drive observability and reliability using OpenTelemetry, Datadog, and Langfuse
• Design APIs (GraphQL, REST), background workers, and event-driven systems that interface with AI inference engines and agent runtimes
• Collaborate with Data Science, ML, and engineering teams to deploy AI features and improve the performance, scalability, and reliability of backend systems
• Participate in code reviews, knowledge sharing, and mentoring to elevate the team’s technical capabilities

• 6+ years of backend engineering experience
• Strong proficiency in more than one major programming language (such as Python, Java, Go, Rust, or Kotlin)
• Solid understanding of AI systems architecture and experience working in environments involving AI agents, LLMs, or inference pipelines
• Proven experience in building and scaling backend APIs, microservices, and background jobs
• Strong experience with relational and NoSQL databases (e.g., PostgreSQL, MySQL, MongoDB, Redis), including schema design, data modeling, and query optimization
• Experience with message brokers and distributed systems (e.g., Pub/Sub, Redis Streams, RabbitMQ)
• Highly adaptable, a strong team player, with the ability to quickly learn and apply new technologies

• Strong proficiency in Python and/or Node.js/NestJS
• Experience with clinical systems and healthcare data standards (FHIR, EMR/EHR)
• Hands-on experience with AI agent frameworks such as LangChain, LangGraph, or LiteLLM
• Experience orchestrating hybrid model stacks combining commercial APIs (OpenAI, Google Gemini) with self-hosted or fine-tuned LLMs
• Familiarity with observability tools for AI systems (Langfuse, OpenTelemetry)

Competitive compensation packages based on industry benchmarks for function, level, and geographic location