AI Engineer (Java&Angular)

The Company – an international technology group with around 10, 000 employees at more than 100 locations worldwide, united by a common goal: transforming entrepreneurial thinking into customer success and shaping technological change.

In our Business Areas – Pharma, Supply Chain, and Technologies – we offer inspiring products, solutions, and services. We respond quickly to customer needs, implement ideas seamlessly, and create added value through our innovations. In doing so, we are increasingly building ecosystems that solve the challenges of today and tomorrow.

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 Elvárások / 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 Amit nyújtunk / Benefits

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