Software Engineer / AI Enabler - Java or TypeScript - Munich - 130.000 EUR

Xcede Recruitment Solutions; München; Hybrid; EUR 110.000 - 130.000; Vollzeit

Zusammenfassung

A leading global technology firm in Munich is seeking a Software Engineer specializing in Java or TypeScript. This role involves building AI-powered tools and systems using modern stacks, alongside coaching teams on GenAI applications. The successful candidate will have at least 5 years of experience and a strong background in software engineering practices. The company offers hybrid flexibility and a collaborative work environment that encourages learning and experimentation.

Leistungen

Hybrid flexibility

Relocation support

Learning budgets

Qualifikationen

• 5 years building production systems in large, evolving codebases.
• Experience with modern stacks like TypeScript/Node.js/Next.js or Java/Spring Boot.
• Skilled in writing maintainable and well-structured backend or full-stack features.

Aufgaben

• Join a product engineering team to contribute directly to customer-facing systems.
• Build AI-powered internal tools like coding assistants and documentation agents.
• Coach teams on effective GenAI usage and share best practices.

Kenntnisse

TypeScript/Node.js/Next.js

Java/Spring Boot

GenAI usage

GitHub Copilot

Prompt engineering

LLM integration

Jobbeschreibung

Software Engineer / AI Enabler - Java or TypeScript - Munich - 130.000 EUR

Help Build the Future of AI-Accelerated Engineering

We are a leading global e-commerce platform undergoing a major transformation. As AI reshapes how great software is built, we’re creating a new group of engineers who will multiply the impact of entire teams.

This role is for hands‑on software engineers who love using GenAI tools, shipping real product features, and helping an organisation become truly AI‑first.

Not research.

Not modelling.

Real engineering — accelerated by AI.

What You’ll Do

Build great products, faster

• Join a product engineering team and contribute directly to customer‑facing systems.
• Work across modern stacks such as TypeScript/Node.js/Next.js or Java/Spring Boot, running on AWS/Azure/GCP.
• Use GenAI every day to accelerate design, development, debugging, testing, documentation and operations.

Create the tools that scale AI across the organisation

• Build and evolve AI‑powered internal tools (coding assistants, review helpers, documentation agents, testing bots).
• Integrate APIs like OpenAI, Anthropic, Azure OpenAI, Vertex AI, Claude into real products and workflows.

Act as an engineering multiplier

• Coach teams on effective GenAI usage — what works, what doesn’t, and how to use AI safely.
• Share patterns, anti‑patterns, and best practices across the engineering organisation.
• Help shape AI‑first standards, playbooks and ways of working.

Experiment, learn, improve

• Run small, data‑informed experiments to validate new tools and workflows.
• Measure the impact and turn successful approaches into repeatable standards.

What You Bring

Deep Software Engineering Capability

• 5 years building production systems in large, evolving codebases.
• Strong experience with TypeScript/Node.js/Next.js or Java/Spring Boot.
• Skilled in writing maintainable, well‑tested and well‑structured backend or full‑stack features.

Strong Applied GenAI Experience

You’ve used GenAI in real engineering work — not theory, not research:

• Daily usage of tools like GitHub Copilot, Cursor, Codeium, Replit Agent, ChatGPT for coding.
• Built features or internal tools using OpenAI/Anthropic/Azure OpenAI/Vertex AI.
• Experience with LLM integration, prompt engineering, RAG, tool/function calling, or AI‑powered automation.

Mindset & Influence

• Curious, growth‑oriented, comfortable learning in public.
• Strong communicator who can introduce new tools, handle scepticism, and help others level up.
• Pragmatic: understands GenAI strengths and limitations, and knows how to apply guardrails (reviews, tests, policies).

Why Join Us?

• A highly international engineering organisation with 50 nationalities.
• Modern offices with collaborative spaces, social areas and flexible working environments.
• Hybrid flexibility, relocation support, learning budgets, and a culture that encourages experimentation.
• Real influence: your work will shape how hundreds of engineers build software.

If you want to help build AI‑first engineering at scale, we’d love to speak with you.