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!
Location: Remote (EU) Domain: AI-powered Healthcare / Genomics
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.
