Sequencing

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.

This listing is sourced directly from Sequencing's careers page and normalized into a canonical job model.