We’re looking for a Senior Backend Engineer to join an innovative AI-powered healthcare product that’s transforming how people understand their genetics and health. If you’re passionate about building scalable backend systems, solving complex engineering challenges, and working on a product that makes a real-world impact, we’d love to hear from you!
What we’re looking for: * 5+ years building and operating production backend systems at scale. * Expert-level in TypeScript, comfortable owning production services end to end. * Strong distributed-systems fundamentals — you understand how they’re designed and why they fail. * Hands-on with large-scale data processing frameworks (Apache Spark or equivalent) and very large datasets. * Deeply familiar with both OLTP and OLAP data systems (PostgreSQL, DuckDB).
Nice to have: * Rust, and functional programming experience (Scala or similar). * Python for data processing. * Experience training or fine-tuning your own AI models — not just calling APIs. * 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. * LLM observability tooling (Langfuse, LangSmith). * Workflow engines (Temporal). * Familiarity with genomics, bioinformatics, or health data systems. * High-growth startup experience.
What you’ll do: * Develop and maintain high-performance and fault-tolerant distributed backend services on Node.js/TypeScript. * Build and optimize data processing pipelines over large genomic and health datasets using Apache Spark and DuckDB. * Design data structures, storage, and indexing strategies across PostgreSQL, Qdrant, and Redis. * 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 as well as product and design teams to deliver reliable AI-powered experiences.
To apply, please send your CV with a detailed description of your experience, skills, achievements, as well as your salary expectations and possible start date.
