Plan B Climatech
Founding Staff Full Stack Engineer - CleanTech - Remote
This range is provided by Plan B Climatech. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range
$200,000.00/yr - $250,000.00/yr
My client, a Series A funded CleanTech on the cutting edge of applying AI to Finance in CleanTech are looking for a Back End leaning Founding Staff full stack engineer.
To be a good fit for the role, you must have worked in a startup and had success scaling an AI focused Web Application from the ground up, be comfortable across the stack but be back end leaning and have built out LLM's.
Core Responsibilities
- Lead the end-to-end design, architecture, and development of a high-performance full-stack application using TypeScript/React on the frontend and Python/Django on the backend.
- Architect and maintain scalable, type-safe REST and GraphQL APIs (Django REST Framework + Django Ninja or FastAPI-style patterns) that seamlessly integrate with modern React frontends and AI inference services.
- Build, deploy, and manage production-grade AI inference endpoints (using Django views or async workers) capable of serving large language models or custom ML models at scale with low latency.
- Drive continuous improvement of internal Evals frameworks, including test harnesses, metrics dashboards (React-based), and automated evaluation pipelines.
- Make key system design and architecture decisions for a high-traffic, mission-critical production environment handling thousands of concurrent users.
- Act as a true full-stack owner: regularly contribute production-grade code in TypeScript, React (Next.js), Tailwind/UI libraries while maintaining deep expertise in the Django/Python stack.
Required Skills & Experience
- Expert-level proficiency in Python and Django (including Django REST Framework, async views, channels, Celery/RQ, custom middlewares, and advanced ORM usage).
- Expert-level proficiency in TypeScript and modern React ecosystems (Next.js 14+, App Router, Server Components, React Query, Zod, TailwindCSS).
- Proven experience building and serving AI/ML models in production (TorchServe, ONNX Runtime, vLLM, or custom inference servers integrated into Django).
- Deep knowledge of AI agent architectures, RAG retrieval strategies, prompt engineering, and evaluation datasets/metrics.
- Full-stack fluency: comfortable owning features from database schema → Django models → API contracts → TypeScript types → React components and end-to-end testing.
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Industries: Services for Renewable Energy
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