Lead Platform Engineer

Compensation: $20k – $30k • 1.0% – 4.0%

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 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
• Own the architecture and delivery of full-stack platform features, end-to-end
• Lead technical scoping and architecture reviews for new features and integrations
• Build and maintain integrations with external APIs, AI/ML services, and agentic tooling
• Translate research and product requirements into robust, well-crafted platform capabilities

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

Click here to apply