Fullstack Engineer
Medior AI Software Engineer - GenAI
ALDI International IT Services
Budapest
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Your responsibilities:
- As an AI Software Engineer you are part of our Global Agile Team, building AI-powered products that create real business value across ALDI
- You design and implement AI applications such as ALDI:GPT and internal knowledge solutions
- You develop state-of-the-art AI agents and agentic workflows that automate complex business processes
- You build production-grade GenAI solutions using modern frameworks and APIs, focusing on reliability, observability and measurable impact
- You design and implement RAG systems, integrate vector databases and optimize prompts and context pipelines
- You collaborate with product owners and business stakeholders to translate real-world problems into practical AI solutions
- You work across the stack when needed, including backend services, automation workflows and lightweight frontend interfaces
- You build and maintain automation workflows (e.g. n8n) to connect AI capabilities with enterprise systems
- You contribute to internal AI platforms, APIs and developer tooling that accelerate idea-to-production
- You implement evaluation pipelines, guardrails and monitoring to ensure AI systems behave reliably in production
- You write clean, maintainable code and actively participate in code reviews and technical discussions
- You actively use AI tools in your daily work to improve productivity, development speed and solution quality
The knowledge I own:
- Strong Python development skills and experience building backend services (e.g. FastAPI)
- Hands-on experience with GenAI frameworks such as LangChain, LangGraph or similar agent frameworks
- Experience designing RAG pipelines, working with embeddings and vector databases
- Understanding of prompt engineering, context management and LLM application design patterns
- Experience building production applications with modern software engineering practices
- Comfort working with JavaScript and React for building simple interfaces or integrations
- Experience building automation workflows (e.g. n8n or similar automation platforms)
- Experience working with cloud platforms such as Azure and integrating enterprise systems (e.g. SAP)
- Understanding of evaluation strategies, observability and monitoring for AI systems
- Comfortable using modern AI tools and copilots as part of your daily development workflow
- Experience with testing, code reviews and collaborative development practices
- Fluent and effective communication in English within an international team
- Growth-oriented mindset with willingness to learn new platforms and technologies
- Comfortable working in an environment that includes operational responsibility; on-call participation may be required later
What makes a great candidate:
- You have a strong technical background in Computer Science, Artificial Intelligence or a comparable field
- You have built and delivered at least 2–3 real AI-powered applications, features, or automations that solved practical problems
- You can independently implement GenAI solutions end‑to‑end, from idea to working prototype or MVP
- You have hands-on experience building at least one RAG system, AI agent, or production LLM integration
- You demonstrate ownership by taking responsibility for delivering working solutions rather than just experiments or demos
- You understand the practical challenges of working with LLMs such as hallucinations, context limits and prompt reliability
- You are curious about business problems and enjoy translating them into practical AI or automation solutions
- You actively use AI tools to improve your productivity and development workflow
- You continuously learn and explore new tools, frameworks and approaches in the rapidly evolving AI ecosystem
For bonus points:
- Experience with agent architectures and multi-agent systems
- Experience with production LLM deployments or AI platform engineering
- Experience with CI/CD, containerization (Docker) and modern cloud-native workflows
- Experience building internal developer tools or productivity platforms
- Experience working with enterprise knowledge bases and document processing systems
Don't feel like you fit all of the above points? Apply anyway! You may be exactly what we are looking for!
The offer that would convince me:
- In our international team you can work with colleagues from all over the world
- We develop our own internal products and focus on high-quality, stable solutions that create real business impact
- At ALDI our engineering culture emphasizes clean architecture, code quality and practical problem solving
- Flexible working hours with home office possibility
- Regular salary increases — we follow inflation and reward loyalty
- Continuous learning opportunities through our internal e-learning platform and engineering communities
- The chance to work at the forefront of applied AI and help scale GenAI solutions across the business
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