About the Role
Join a small, high-velocity team at a YC-backed AI developer tools company building intelligent AI assistants that help technical teams unlock the full value of their product knowledge. You'll work hands-on alongside the founding team and research engineers to scale a retrieval-augmented generation (RAG) engine, grow an analytics platform, and ship client integrations — all using Python and React. This is a high-impact role at a seed-stage company (Series A/B trajectory) with ~20 people, where your contributions will be visible and meaningful from day one.
What You'll Do
Collaborate directly with the founding team and research engineers to define and implement features end-to-end.
Scale the backend infrastructure powering the core RAG engine using Python.
Experiment with and ship new features in an analytics platform built on React + Python.
Build and maintain client integrations used to deploy AI assistants for customers (React + Python).
Enable ingestion of new data source types to expand the knowledge base available to AI agents (Python).
Maintain and improve a React SDK used by external developers.
What We're Looking For
Required
3+ years of full-stack software engineering experience building complex systems with a Python backend and React frontend.
Strong proficiency in Python and JavaScript/TypeScript.
Hands-on experience with machine learning, deep learning, and LLMs, including familiarity with natural language processing concepts.
Experience building with or architecting retrieval-augmented generation (RAG) systems.
Demonstrated experience building AI assistants or NLP-driven applications.
Strong CS fundamentals — degree in computer science, mathematics, statistics, machine learning, or a related field, or equivalent practical experience.
Nice to Have
Prior experience in a startup environment.
A notable marker of excellence: recognized prior employer, published research, significant open-source contributions, or standout side projects.
Compensation & Benefits
Salary: $100,000 – $150,000 USD annually
Visa sponsorship available
Location
This role is fully remote, with a primary base in Berlin, Germany (candidates in Germany, Denmark, or the United Kingdom are also welcome). Occasional in-person collaboration may be expected.
