Full Stack Engineer

Stott and May; München; Hybrid; EUR 110.000 - 150.000; Vollzeit

Benefits dieser Stelle

Equity 0.5%–1.5%

Hybrid work in Munich

Direct access to founders

Production impact on real problems

Zusammenfassung

Stott and May is seeking a founding Full-Stack Engineer for an AI infrastructure startup in Munich. You will partner directly with the founders to shape architecture, product decisions, and how AI integrates into critical workflows.

You will contribute to frontend and backend work, building with TypeScript, Next.js, and vector search, in a hybrid Munich office. The role offers meaningful equity (0.5–1.5%) and rapid impact on real-world problems.

Qualifikationen

• Experience building full-stack software with a focus on user outcomes.
• Ability to define architecture and product decisions in collaboration with founders.
• Comfort speaking with customers and mapping operational workflows to software.
• Proven ability to prototype quickly and iterate from real usage insights.
• Strong ownership mindset and ability to operate in ambiguity.

Aufgaben

• Own major parts of the product from day one and help define architecture.
• Build frontend systems that handle streamed outputs and tool execution traces.
• Develop AI-enabled workflows and automation within critical operational contexts.
• Collaborate closely with founders to shape product decisions and prioritise work.

Kenntnisse

Full-stack

Product instincts

Customer communication

Operational workflows

Prototyping

Ownership mindset

Ambiguity handling

Tools

TypeScript

Next.js

Vercel

Supabase

Vector search

LLM tooling

Observability tooling

Agent frameworks

Jobbeschreibung

Founding Full-Stack Engineer | AI Infrastructure Startup

A VC-backed early-stage startup is building an AI-native operating system for one of Europe’s largest and most inefficient industries.

Today, billions are lost because critical project knowledge lives across PDFs, meeting notes, emails, and fragmented systems. Every major project starts from zero.

They’re solving that by building an AI co-worker that sits at the centre of complex operational workflows - turning scattered information into structured execution, proactive decisions, and compounding institutional memory.

The product is already live inside major large-scale infrastructure programmes with real operational consequences when things go wrong. Every deployment improves the system, creating a long-term moat competitors can’t easily replicate.

Backed by top-tier early-stage investors, including specialist funds with deep exposure to infrastructure, AI, and some of Europe’s strongest founder ecosystems.

The Role

This is a genuine founding engineer opportunity.

You’ll work directly with the founders and own major parts of the product from day one - helping define architecture, product decisions, and how AI should actually show up inside critical workflows.

1. AI-native workflow software, not chatbot wrapper

The goal isn’t another chat interface on top of documents.

It’s building software where AI operates through automation, background processes, alerts, workflows, and delegated execution - knowing when to act silently, when to recommend, and when humans should stay in control.

2. Extending agent systems all the way to the frontend

Agent infrastructure doesn’t stop at backend orchestration.

You’ll build frontend systems that handle streamed outputs, tool execution traces, partial renders, interruptions, and recovery flows as first‑class product experiences - not UI afterthoughts.

Stack

TypeScript, Next.js, Vercel, Supabase (Postgres + vector search), modern LLM tooling, agent frameworks, observability tooling, and production‑grade AI workflows.

Greenfield environment.

Strong tooling culture with dedicated AI experimentation budget per engineer.

What They’re Looking For

• Strong full‑stack engineering ability with excellent product instincts
• You think from user pain ? product decision ? measurable outcome
• Comfortable speaking with customers and understanding operational workflows
• Fast execution without sacrificing reliability
• Strong ownership mindset and comfort operating in ambiguity
• You can prototype quickly, test assumptions, and improve based on real usage
• Bonus points for startup experience, strong open‑source work, AI systems, document understanding, or systems that replaced manual operational work

Level is flexible - they care more about exceptional people than rigid seniority labels.

English‑speaking environment. German is helpful but not required.

Why Join

• Direct access to founders and strategic decisions
• Immediate production impact on high‑value real‑world problems
• Strong equity package (0.5%–1.5%)
• Fast learning curve with frontier AI systems
• Hybrid setup: 3 days/week in central Munich office
• Clear path into senior IC or future leadership roles depending on your strengths

Interview Process

• Technical first stage + Founder conversation
• Final onsite case study in Munich (2-4 hours prep)