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.

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

Originally posted on Himalayas