Applied AI Engineer - Conversational Analytics
Budapest Mid-level AI Engineering
At a glance
Mid-level AI Engineering role at ALDI. Budapest.
Pay not stated Applied AI Engineer salary
RoleAI Engineering
SeniorityMid-level
LocationBudapest
PostedSep 30, 2026 · 3w ago
Role brief
aimlroles summary, based on the employer's posting.
What you'll do
- Build and run assistants that answer business users’ natural-language questions about company data with accurate, traceable responses
- Create Python LLM applications for text-to-SQL, tool use and retrieval from documents and business definitions
- Set up test data and automated checks to measure answer quality whenever prompts, models or data change
- Protect production systems with backend permissions, prompt-injection safeguards and GDPR-aware personal-data handling
- Track accuracy, speed and cost in production, then improve performance through model choices, caching and multilingual support
What you bring
- Strong Python skills, including experience building and testing production services and APIs
- Hands-on experience releasing LLM applications to production through managed model APIs
- Strong SQL ability and experience connecting natural-language questions with structured data
- Practical knowledge of retrieval-augmented generation, LLM evaluation, agent design and basic security and data protection
Who this fits
This role suits a mid-level engineer who can turn business needs into dependable AI tools and explain their limits to non-technical colleagues. You’ll work with data engineers, analysts and business stakeholders, and the role is full-time in Budapest.
From the employer
- PLACE OF WORK
- 1112 Budapest, Boldizsár utca 2.
- AREA OF EMPLOYMENT
- IT
- START OF WORK
- as soon as possible
- EMPLOYMENT TYPE
- Full-time
My responsibilities:
- Design, build, and operate conversational analytics assistants that let business users ask questions of company data in natural language and receive accurate, traceable answers
- Develop LLM-based applications and agents in Python, including text-to-SQL, tool calling, and retrieval over documents and business definitions
- Build and maintain evaluation pipelines, including test sets, automated regression checks, and answer quality monitoring, so every prompt, model, or data change is measured before release
- Ensure solutions are secure and compliant, with permissions enforced in the backend, protection against prompt injection, and responsible handling of personal data under GDPR
- Monitor and optimize production systems for accuracy, latency, and cost, including model selection, caching, and support for multiple languages
- Work closely with data engineers, analysts, and business stakeholders to turn requirements into reliable solutions, and document all technical processes to ensure operational continuity
The knowledge I own:
- Strong programming knowledge in Python, including building and testing production services and APIs
- Hands-on experience shipping LLM-based applications to production using managed model APIs
- Strong SQL knowledge and experience with text-to-SQL or other natural language interfaces over structured data
- Strong understanding of retrieval-augmented generation (document parsing, chunking, hybrid search, reranking)
- Experience evaluating LLM systems (building test sets, regression testing, using LLM-as-a-judge and knowing its limits)
- Good understanding of agent design, tool calling, structured outputs, and context management
- Basic understanding of LLM security (prompt injection, access control) and data protection requirements (GDPR)
- Basic understanding of data modelling principles and semantic layers (metric definitions, business glossaries)
- Pragmatic, data-centric mindset: chooses the simplest solution that works and measures before optimizing
- Structured, analytical thinking
- Strong communication skills, including explaining what AI can and cannot do to non-technical stakeholders
- Well-organized
- Practical experience with Databricks Genie, Microsoft Fabric AI Agents or SAP Joule is appreciated
The offer that would convince me:
- A constantly growing organization and increasing opportunities
- Secure, long-term job opportunity
- Varied and engaging job responsibilities
- The chance to build AI products used by colleagues across the international organization
- Outstanding salary
- Flexible work arrangements
- Home office possibility
Online application:
Please use our online application and attach your resume.