Full Stack Engineer for AI Startup (f/m/d)

Remotely; Berlin; Vor Ort; EUR 60.000 - 80.000; Vollzeit

Benefits dieser Stelle

2 days home office

Deutschlandticket

€1,000 learning budget

10,000 sports facilities with the EGYM

Zusammenfassung

Remotely is scaling its AI platform meinGPT from thousands to tens of thousands of users and is seeking a full-stack engineer focused on React and TypeScript. You will build features that scale, shaping both frontend experiences and backend systems to handle millions of API calls.

Based in Berlin at the Delta Campus, you’ll own features end-to-end, mentor teammates, and contribute to a secure, performant platform in a fast-paced startup environment with flexible work options.

Qualifikationen

• 3 years of professional software engineering experience with React, TypeScript and PostgreSQL.
• Strong ownership mindset: think beyond code to product outcomes and user experience.
• Ability to learn quickly and thrive in a fast-growing environment with a scaling product.

Aufgaben

• Build and ship high-quality, full-stack features using TypeScript and React, prioritizing UX.
• Design and implement robust backend systems to handle massive data and API requests.
• Take ownership from concept to deployment and operation, ensuring reliability, security and performance.
• Debug production issues, identify root causes and implement durable fixes.
• Mentor junior colleagues and contribute to codebase improvements through thoughtful reviews.

Kenntnisse

React

TypeScript

PostgreSQL

Tools

Docker

CI/CD

Jobbeschreibung

We've hit Product-Market Fit. Our AI platform meinGPT already serves 10k users across 250 companies, and now we're scaling. Your challenge: Help us grow to 100k users.

TL;DR: €60-80k Berlin (Delta Campus) 40h React / TypeScript

Our Mission

Our mission with meinGPT is to bring AI to the core of the SME sector. We're building the central, all-in-one platform that makes powerful AI accessible to everyone. Our core challenge: Crafting a UX so intuitive so that anyone can master AI and build the technical foundation to handle millions of secure LLM calls per month. Your work will define how thousands of people interact with AI daily.

Our engineering challenges for 2026:

• Synchronize and index terabytes of client data and handle their permissions
• Process millions of LLM calls per month and our users expect high reliability
• Spawn thousands of code sandboxes per day which must run in a scalable and secure way
• Build the base infrastructure for our custom integrations team so that they can integrate new systems within few hours

Your Mission

• Build and ship high-quality, full-stack features using TypeScript and React, with a strong focus on creating a seamless and intuitive user experience.
• Design and implement robust backend systems capable of handling a massive scale of data and millions of API requests.
• Take full ownership of features from concept and deployment through to operation, ensuring they are reliable, secure, and performant.
• Debug issues in production, identify root causes and implement solutions to ensure a stable platform for users.
• Help mentor junior colleagues and improve our codebase through constructive, thorough code reviews.

Why GenAI full stack engineering is full of exciting challenges:

• Context Engineering: An AI agent is only as good as its context. The core challenge is assembling the perfect context in real-time from multiple, diverse data sources to make the agent powerful and accurate.
• Scale: We process terabytes of sensitive customer data - while fulfilling all requirements about performance, correctness, reliability, and security.
• UI/UX: The challenge is creating intuitive interfaces for new interaction patterns like real-time streaming, live progress, and multi-modal inputs (text, voice, image).

What We Are Looking For

• 3 years of professional experience software engineering and our core technologies (React, TypeScript & PostgreSQL) and the surrounding ecosystem (Docker, CI/CD)
• Strong sense of product ownership: You think beyond your own code and care about the big picture: how the product feels to users and how it succeeds as a whole.
• You are a quick learner and really enjoy the fast pace and high-growth environment that comes with a scaling product.

What's in it for You

• Learn how to build a scalable AI platform, make critical product decisions in a high-growth startup, and integrate the cutting-edge AI technology
• Directly shape the product and its architecture during our critical 4M → 10M ARR growth phase. Your work will be used by thousands of users from day one.
• Enjoy flexible working hours with the option of 2 days/week in the home office.
• Further perks like the access to 10,000 sports facilities with the EGYM Wellpass, a €1,000 annual learning budget and the Deutschlandticket.

How We Work

We have a development process built for speed, quality, and focus. Some insights:

• We use AI tools (Cursor, Claude Code etc.) daily to be faster and smarter, but you remain in full control and responsible for your code.
• We minimize meetings and even make dailies optional to protect your deep work time.
• Healthy Ambition: We have huge goals but are committed to a healthy work environment - and make sure that our people are feeling well.
• Fast Delivery, Close to the User: We ship fast, stay close to our customers, and let their direct feedback drive our next steps.
• Security & Reliability First: As an enterprise platform, the security of customer data and the reliability of our systems are our highest priorities.

Our stack

• Core stack: React, TypeScript, Python, tRPC, PostgreSQL, Kubernetes, Docker
• AI & Dev Tools: Cursor, Claude Code, CodeRabbit, Linear, GitLab, Notion
• AI Services integrated into the Platform: OpenAI, Gemini, Claude, Mistral, Perplexity, Flux, Gladia (audio transcription)

Where You'll Work

You'll be based at our Berlin office at Delta Campus -- together with the part of our team that's already there. Our main location and the majority of the team are in Munich. We work closely across both offices and meet up in person regularly.