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💼 Full-time🗓 2026-06-25

Core

Designing and analyzing biological sequences using state-of-the-art language models to enable molecular discovery.

Role type

Lead Platform Engineer

Builds

Core AI platform for molecular discovery, full-stack platform features, and integrations with external APIs and AI/ML services.

Domain

Bioinformatics / Computational Life Sciences / AI

Deliverable

production ML models | product features | infrastructure

Required skills

Python, React/Node.js, cloud infrastructure (AWS), CI/CD, Docker, relational data modeling, API design, REST, WebSockets, agentic/MCP-based systems

Preferred skills

scientific/research workflow tooling, interactive data visualization (D3.js, Plotly, Vega-Lite), large-scale ML model API integration, biology/bioinformatics background

Technologies

Python, React, Node.js, AWS, Docker, D3.js, Plotly, Vega-Lite

Responsibilities

Ship products and features with startup-caliber velocity, own architecture and delivery of full-stack platform features, lead technical scoping and architecture reviews, build and maintain integrations with external APIs and AI/ML services, translate research and product requirements into robust platform capabilities

Seniority

Senior, hands-on IC with leadership responsibilities

Rewrite
## About the role BioLM is building an AI platform for molecular discovery, enabling researchers to design and analyze biological sequences using state-of-the-art language models. We are seeking a Lead Platform Engineer to own the architecture, development, and evolution of our core platform. You'll work directly with the founding team to make high-leverage technical decisions - and be accountable for the reliability, scalability, and quality of what we ship. ## Responsibilities - Ship products and features with startup-caliber velocity and a high bar for quality - Own the architecture and delivery of full-stack platform features, end-to-end - Lead technical scoping and architecture reviews for new features and integrations - Build and maintain integrations with external APIs, AI/ML services, and agentic tooling - Translate research and product requirements into robust, well-crafted platform capabilities ## Experience - 5+ years of full-stack engineering experience, with a track record of shipping production systems end-to-end, from infrastructure to user-facing interface - Led technical projects - scoped work, delegated effectively, and delivered on time - Designed and operated cloud infrastructure at scale - Built and maintained complex third-party integrations or API-driven systems - Brought product instincts and UI sensibility to ambiguous, early-stage problems ## Required Qualifications - Deep proficiency in Python and React/Node.js - Strong command of cloud infrastructure (AWS or equivalent), CI/CD, and Docker - Solid understanding of relational data modeling and API design patterns - Experience with REST, WebSockets, and modern integration patterns including agentic/MCP-based systems - A good eye for UI design and the product thinking to match ## Preferred Qualifications - Experience building tooling for scientific, research, or ML/AI-adjacent workflows - Familiarity with interactive data visualization (D3.js, Plotly, Vega-Lite) - Experience integrating or deploying large-scale ML model APIs or agentic AI systems - Background or genuine interest in biology, bioinformatics, or computational life sciences
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