Lead Platform Engineer
BioLM ·
- Seniority
- Lead
- Category
- Devops
- Experience
- 5+ years
- Company size
- 11-50
BioLM ·
BioLM.ai · California
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Lead Platform Engineer at BioLM: designs and maintains an AI-driven platform for molecular discovery, focusing on agentic workflows, full-stack development, and seamless integrations for researchers to build and deploy bio models.
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 product 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.
Ship products and features with startup-caliber velocity and a high bar for quality
Lead the development of agentic workflows for molecular design and discovery
Build and extend platform UI features that enable researchers to create, manage, and deploy fine-tuned protein and DNA models
Integrate our Console, Builder, and Solutions apps into a seamless full-stack experience for molecular development
Build API integrations with sequence and assay ordering providers, including internal data modeling and full-stack UI development
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
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
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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