Senior AI Software Engineer - GenAI

PLACE OF WORK

7622 Pécs, Bajcsy-Zsilinszky utca 33.

AREA OF EMPLOYMENT

IT

START OF WORK

as soon as possible

EMPLOYMENT TYPE

Full-time

megállapodás szerint

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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 designed, built and owned multiple (e.g. 5+) production-grade AI systems, agents, or platforms that delivered measurable business value 

You have taken technical ownership of AI solutions from concept through architecture, implementation and production operation 

You have delivered several end‑to‑end AI products or internal platforms used by real users or business teams

You have implemented evaluation frameworks, monitoring, or guardrails for AI systems in production 

You are comfortable making architectural decisions around agent systems, RAG pipelines, orchestration, and infrastructure 

You naturally think about reliability, evaluation, observability and failure modes when designing AI solutions

You help raise the technical level of the team through reviews, mentoring, or architectural guidance

You focus on pragmatic solutions that deliver business impact rather than purely experimental work

You actively leverage AI tools to increase productivity and encourage responsible AI-assisted development practices within the team 

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 an almost fully remote 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 

Online application:

Please use our online application and attach your English resume.

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