Senior AI Bioinformatics Engineer

2 months ago

Remote, United StatesSenior

Responsibilities

Design and build production AI systems powering Sequencing AI.
Develop distributed backend services, genomic reasoning engines, retrieval systems, and scalable data platforms.
Serve as the bioinformatics expert for genomic knowledge representation, retrieval, reasoning, and validation.
Build data models, indexing strategies, and storage architectures across PostgreSQL, Qdrant, Redis, DuckDB, and Apache Spark.
Develop guardrails and deterministic reasoning layers for scientifically accurate, explainable, and evidence-grounded AI responses.
Integrate genomic annotations, interpretation logic, and scientific knowledge into the AI platform.
Collaborate with backend and bioinformatics teams to improve platform accuracy, performance, reliability, and scale.

At least 5 years of experience designing, building, and operating production backend systems at scale.
Expert-level TypeScript experience and ownership of production services end to end.
Strong distributed-systems fundamentals and experience building large-scale data-processing systems with technologies such as Apache Spark.
Deep experience with high-performance data architectures using PostgreSQL, DuckDB, Redis, or 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 for clinical or consumer genomics applications.
Ability to combine senior backend engineering expertise with deep human bioinformatics knowledge.

11-50 employees