Moving beyond “Innovation Triggers” to integrate autonomous agents and agentic workflows into actual business processes, developing LLM-powered applications and architect multi-agent systems using frameworks like PydanticAI, LangGraph, and LiteLLM.
Shape the future of Data & AI at Zenitech
Meet the leader
“Navigating the current Data and AI landscape requires a strong filter. It’s incredibly easy to get distracted by market noise and short-lived trends. We intentionally look past the hype. Our energy is focused entirely on moving high-impact technologies toward the plateau of productivity. Across our teams, we maintain a rigorous, engineering-first approach. We don’t just ‘hack’ with LLMs or build fragile prototypes. Instead, we engineer for long-term scalability and cost-effective optimisation. Mastering these advanced systems takes deep technical expertise. Equally, it takes pragmatism to recognise when a tool is simply not right for the job. Ultimately, we hold our delivery to production-grade standards. Everything we build provides genuine, measurable value to our clients.”
Gábor Szegedi
Data & AI Competency Centre Manager
Data & AI
Delivering end-to-end data solutions using advanced analytics, AI & machine learning.
AI Engineering
Data Engineering
Building scalable data platforms and automating complex data integration, from modern Lakehouse architectures to real-time pipelines. Architecting platforms using the Databricks Data Intelligence Platform and building efficient pipelines to ensure reliable data access.
Deep Learning Applications
Delivering solutions using neural network architectures for complex, unstructured data tasks. Implementing advanced models for specialised operations, including computer vision for automated quality control and NLP pipelines for sentiment analysis.
Machine Learning Applications
Applying predictive modelling and recommendation systems to solve foundational business challenges through mathematical rigour. Building high-accuracy classification and regression systems, including fraud detection models and demand forecasting tools.
Dashboarding & Analytics
Providing insight-driven decision support through custom analytics, executive dashboards, and operational optimisation. Designing interactive tools and real-time visualisations in PowerBI or Tableau to help stakeholders simulate market shifts and track performance.
Rigorous LLM Evaluation
Implementing structured evaluation frameworks to transform subjective AI outputs into quantifiable, reliable data. Using “LLM-as-a-judge” patterns alongside classic ML metrics to solve validation challenges and ensure production safety.
Data & AI Audit
Conducting deep-dive technical audits to identify “Shadow AI” risks, evaluate data compliance, and optimise database health. Uncovering high-value AI solution development opportunities and help create a strategic roadmap for prioritised Proof of Concepts (PoCs).
Why should you join our Data & AI team?
Zenitech’s international Data and AI community brings together engineering excellence and raw data. Together, we create powerful strategic advantages for global clients. Our teams span Hungary, Lithuania, and Romania. We collaborate to build resilient, production-grade systems, seamlessly integrating Data Engineering, Data Analytics, and AI Engineering. We tackle complex challenges by designing modern data platforms, advanced analytics, autonomous workflows, and intelligent applications. Everything we do is rooted in mathematical precision, solid architecture, and practical innovation that drives real operational value.
Great AI demands exceptional engineering. That’s why reliability and scalability are fundamental priorities from the start. Your work will involve designing robust data pipelines, creating intuitive analytics for sharper decision-making, and developing AI systems equipped to solve complex problems. As a member of this international community, you’ll collaborate with peers who value technical excellence, pragmatic innovation, and continuous learning. It’s the ideal environment to hone your craft while shaping the future of data and AI delivery.
Hear from the Data & AI team
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My time at Zenitech has been defined by trust and the freedom to do meaningful work. I came in with a strong data engineering foundation and a consulting mindset, and from day one I was given real responsibility on projects that actually moved the needle for clients. Whether it was architecting Spark-based workflows on AWS, transforming messy data into clean, analytics-ready formats, or standing up an LLM inference cluster, I was constantly stretched in ways that kept me engaged. Beyond the technology, what’s kept me here is the atmosphere: genuinely talented colleagues who are generous with their knowledge, a healthy respect for work-life balance, and enough variety across industries that I’m always picking up something new.Robert NemethSenior Data Engineer -
I’ve been working as an AI Engineer at Zenitech since the beginning of 2026. As an experienced engineer, I knew what a great workplace looks like: exciting projects, smart colleagues, and a healthy work-life balance. Zenitech offers all of these, which keeps me motivated. In addition, the company’s size and flexibility allow us to consult directly with clients during pre-sales and engagements across banking, medical, and other sectors, meaning work never gets boring here.Dávid FodorSenior AI Engineer -
I joined Zenitech more than 2 years ago as a Data Analyst in my first job ever while still at university. I wanted to see how a real company works, and I got exactly that and more. Setting up Power BI dashboards for the leadership of the Hungarian University of Sports Science was a great development opportunity that helped me grow my career. I am incredibly grateful for the support from my coworkers and the flexibility during my studies; I don’t think I could have been at a better place than Zenitech during this time.Mátyás SzalayJunior Data Analyst