Senior Backend Engineer

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.