Sequencing
Senior Backend Engineer (Agentic Data Platform)
Remote, US, USA · Senior
Sponsorship not specifiedDetected 19 days ago
TypeScriptPythonScalaData StructuresPostgreSQLRedisVector DatabasesAWSTemporalRabbitMQSparkData EngineeringLLMsRAGAI OrchestrationBioinformatics
About the role
- When you do this well, people can have meaningful conversations with their DNA and receive trustworthy guidance that evolves alongside advances in science and AI.
- This is a backend and data engineering role.
- It is not an LLM-integration role, and it is not about adding AI tooling to a product.
Responsibilities
- As a Senior Backend Engineer, you'll build and improve the distributed backend systems behind our genomics platform.
- What you'll own Develop and maintain high-performance and fault-tolerant distributed backend services.
- Design data structures, storage and indexing strategies across PostgreSQL, Qdrant, and Redis for performance at scale.
- Own async event processing and workflow orchestration using AWS SQS, RabbitMQ, and BullMQ.
- Drive latency, throughput, and reliability through parallel execution, caching, and efficient data access.
- Build guardrail and quality assurance layers that keep AI responses anchored in real genomic and scientific evidence.
- Partner with bioinformatics experts to ensure outputs match the science, and with product/design specialists on user-facing behavior.
- The opportunity As a Senior Backend Engineer, you'll build and improve the distributed backend systems behind our genomics platform.
- Who you are 5+ years building and operating production backend systems at scale.
Requirements
- Experience with multi-agent AI systems and orchestration (planner / router / evaluator patterns).
- Production experience with LLM APIs (Anthropic, OpenAI, Bedrock, Google AI) Production experience with vector databases and RAG pipelines.
Benefits
- Build and optimize data processing pipelines over large genomic and health datasets using Apache Spark and DuckDB.
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