Lead Platform Engineer

Posted Yesterday
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Hiring Remotely in United States
Remote
Senior level
Artificial Intelligence • Professional Services • Software • Biotech
The Role
Lead platform architecture, development, and reliability for an AI-driven molecular discovery product. Build agentic workflows, full-stack UI features, integrate Console/Builder/Solutions apps, and implement API integrations with sequence and assay providers to support model training, deployment, and researcher workflows.
Summary Generated by Built In

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

Skills Required

  • 5+ years of full-stack engineering experience, shipping production systems end-to-end
  • Proven experience leading technical projects (scoping, delegation, on-time delivery)
  • Designed and operated cloud infrastructure at scale (AWS or equivalent)
  • Built and maintained complex third-party integrations or API-driven systems
  • Deep proficiency in Python
  • Deep proficiency in React and Node.js
  • Strong command of CI/CD and Docker
  • Solid understanding of relational data modeling and API design patterns (SQL)
  • Experience with REST, WebSockets, and modern integration patterns including agentic/MCP-based systems
  • Product instincts and UI design sensibility
  • 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 interest in biology, bioinformatics, or computational life sciences
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The Company
4 Employees

What We Do

BioLM is a SaaS and professional services company that helps biotech and life science companies accelerate their adoption of AI. They provide an API layer for biological language models, allowing researchers to program DNA and proteins like software. Their mission is to accelerate biologics development through data-driven AI and human expertise, offering a platform for the full protein design stack from in silico to experiment.

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