Senior Backend Engineer

Location: United States

Department: Engineering

Location Type: REMOTE

Employment Type: FULL_TIME

The Position

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.