Lead Platform Engineer
- $20k – $30k • 1.0% – 4.0%
- |Remote (Everywhere)
- |5 years of exp
- |Full Time
Posted: 4 months ago• Recruiter recently active
Hires remotely in
Everywhere
Remote Work Policy
Remote only
Company Location
Visa Sponsorship
Not Available
Preferred Timezones
Pacific Time, Mountain Time, Central Time, Eastern Time
Collaboration Hours
9:00 AM - 1:00 PM Pacific Time
RelocationAllowed
Skills
Python
Django
Node.js
PostgreSQL
REST APIs
Docker
React.js
AWS
CI/CD
Model Context Protocol (MCP)
About the job
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
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