Senior Backend Engineer, AI & Bioinformatics (TypeScript)

2 months ago

Remote, United StatesSenior

Responsibilities

Design and build production AI systems powering Sequencing AI.
Develop distributed backend services, genomic reasoning engines, and retrieval systems combining bioinformatics with modern AI.
Serve as the bioinformatics expert on the AI Team and shape genomic knowledge representation, retrieval, reasoning, and validation.
Build scalable services that reason over genes, variants, diseases, medications, and scientific literature.
Design data models, indexing strategies, and storage architectures across PostgreSQL, Qdrant, Redis, DuckDB, and Apache Spark.
Develop guardrails and deterministic reasoning layers to keep AI responses scientifically accurate, explainable, and grounded in genomic evidence.
Translate complex bioinformatics and genomic knowledge into scalable production software.
Collaborate with backend and bioinformatics engineers to architect reliable, high-performance AI systems.
Continuously improve the platform’s scientific accuracy, performance, and capabilities.

At least 5 years of experience designing, building, and operating production backend systems at scale.
Expert-level TypeScript experience with ownership of production services end to end.
Strong distributed systems fundamentals and experience designing and scaling such systems.
Hands-on experience building large-scale data processing systems and processing very large datasets.
Deep experience designing high-performance data architectures using PostgreSQL, DuckDB, Redis, and similar technologies.
Experience building distributed, event-driven systems using AWS SQS, RabbitMQ, BullMQ, or similar technologies.
Experience building production AI systems involving retrieval architectures, vector databases, LLM APIs, and AI evaluation.
Deep expertise in human whole-genome sequencing and genomic interpretation.
Extensive experience with VCFs, genomic annotations, and variant interpretation.
Strong knowledge of ClinVar, dbSNP, gnomAD, HGVS nomenclature, transcript databases, and other core genomic resources.
Experience building production software applying bioinformatics and genomic knowledge to clinical or consumer genomics applications.
Ability to combine senior-level production software engineering with deep human bioinformatics expertise.

11-50 employees