Senior AI Software Engineer - GenAI
PLACE OF WORK
4024 Debrecen, Barna utca 23
AREA OF EMPLOYMENT
IT
START OF WORK
as soon as possible
EMPLOYMENT TYPE
Full-time
megállapodás szerint
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My 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.
AIIS Adatkezelési tájékoztató
Privacy notice
4024 Debrecen, Barna utca 23
AREA OF EMPLOYMENT
IT
START OF WORK
as soon as possible
EMPLOYMENT TYPE
Full-time
megállapodás szerint
.profile_item {
list-style-type: none !important;
}
.profile_heading {
font-weight: bold;
}
.profile_content {
padding-bottom: 0.5rem;
}
.profile_section:has(.profile_item:empty) {
display: none;
}
My 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.
AIIS Adatkezelési tájékoztató
Privacy notice