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The Position

As a Senior AI Backend Engineer you build and improve the AI agent systems that power personalized genetics based health guidance. You work side by side with our AI Backend Architect to move from simple large language model calls to a true multi agent brain that plans routes and checks every answer. When you do this well people get fast accurate and trustworthy health insights from their whole genome instead of generic or confusing results.

The Impact

• Design and improve multi agent AI systems where planner orchestrator worker and evaluator agents work together on each request.
• Build planner and router agents that decide which worker agent Genome Research Health or Drug should handle each task.
• Create AI agents that can pick use and chain tools on their own including ReAct style agents that can write and run code in a safe loop.
• Set up clear interfaces and parallel execution for worker agents so answers stay fast even as we add more data and tools.
• Build critic and review layers that check responses for quality safety and scientific accuracy before sending them to the user.
• Reduce wait times by running agents in parallel precaching likely intents and making tool calls and data access as efficient as possible.
• Build and maintain evaluation pipelines and benchmarks so we can measure answer quality response speed and reliability over time.
• Design and run production AI backend services in TypeScript that connect agents to genomics and health data.
• Build prompt flows retrieval pipelines and guardrails so models stay grounded in real genetic and health evidence not guesses.
• Integrate and run databases queues and data systems such as PostgreSQL MySQL AWS SQS Redis BullMQ and AWS Glue in the AI backend.
• Support backend systems that power native mobile apps so experiences feel fast and stable on every device.
• Work closely with bioinformatics teammates to be sure AI answers match what the DNA and science actually say.
• Partner with product and design to make AI answers feel simple caring and easy to act on for non experts.
• Help shape a self improving AI system that can learn from patterns across many users while keeping their data private and secure.
  
  

Dominant and Expressed Traits

• 5+ years of backend development in production environments.
• Expert with TypeScript and comfortable owning production backend services.
• Proven experience building multi agent AI systems and orchestration patterns not just wiring up a single large language model.
• Deep hands on work with large language model APIs such as Anthropic OpenAI Bedrock DeepSeek or Google AI in real products.
• Experience building structured retrieval augmented generation pipelines and retrieval systems.
• Experience with hierarchical agent designs planner and orchestrator patterns dynamic tool use and autonomous agents.
• Experience building evaluation pipelines benchmarks and response quality scoring plus tuning systems for low latency.
• Strong understanding of how to speed up AI systems using parallel execution caching and efficient tool calls.
• Experience with PostgreSQL DuckDB Apache Spark and service oriented architectures.
• Able to work independently in a remote setup while partnering closely with product engineering and bioinformatics.
• Customer obsessed and quality driven with a strong respect for scientific accuracy and safety around health.
• Nice to have familiarity with genomics bioinformatics or health data systems agent frameworks like LangGraph AutoGen or CrewAI self improving agent loops startup environments or Rust.