Lead Platform Engineer

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

Originally posted on Himalayas