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Open nowPosted 202 days ago

Lead Platform Engineer

biolm1 open role

Where
International
Work mode
Remote
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Your applicationOpen nowLead Platform Engineerbiolm · International
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  4. 18.1%14 days
  5. 35.6%30 days
  6. 44.6%60 days
This job: posted 202 days ago

The posting

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.

Responsibilities

  • 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

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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