AI Engineer (Java&Angular)

• Opportunity to contribute to a forward-looking sustainability strategy
• Flexible working hours and remote work
• Innovative, interdisciplinary team environment
• Employee benefits such as bonuses, cafeteria, sports club, health fund, pension fund

Responsibilities

What You’ll Do

• Develop & Maintain: Build scalable web applications using Java (Spring Boot) and Angular.
• Use AI coding assistants (e.g., GitHub Copilot, Cursor, or internal LLMs) to write, refactor, and document code efficiently.
• Manage Data: Design and integrate RESTful APIs and handle database interactions (SQL/NoSQL).
• Control the Version: Use Git - clean commits, meaningful branch names, and painless merges. Branching strategies like: gitflow
• Own the Frontend: Create modular, reusable components in Angular that don't just work, but feel great to use.
• Containerize: Use Docker to ensure our environment stays consistent from dev to production.
• Collaborate: Participate in code reviews (giving and receiving) and agile ceremonies.
• Continuous Learning: Stay ahead of the curve by testing and adopting new AI dev-tools that improve the

Requirements

The Core Stack:

• Java: Strong foundation in Java 17/21+. Experience with Spring Boot is a must.
• Angular: Proficiency in TypeScript and modern Angular (v17+ preferred).
• Git: You know the difference between a rebase and a merge (and when to use each).
• Docker: You can write a Dockerfile, manage images, and understand why "containerization" isn't just a buzzword.

The AI & Tooling Edge:

• AI Orchestration: Experience using AI tools for boilerplate generation, unit test creation, and complex debugging.
• Prompt Engineering: The ability to craft precise instructions for LLMs to get high-quality, secure code outputs.
• Critical Evaluation: You don't just "Copy-Paste" AI suggestions; you have the technical depth to audit AI code for security vulnerabilities and performance bottlenecks. HITL (Human in the Loop)

The "Nice-to-Haves":

• Experience integrating OpenAI/Anthropic/Gemini APIs into web applications.
• Familiarity with vector databases (like pgvector or Pinecone) or LangChain.
• Familiarity with Cloud platforms (AWS, Azure, or GCP).
• A "testing" mindset-experience with JUnit, or Jasmine/Karma or equivalent
• Familiar with Liferay CMS System