Lead AI Engineer
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Summary
Budapest vagy Székesfehérvár, HUN
Hybrid
Senior
Introduction
Partnerünk nemzetközi csapatába keresünk Lead AI Engineer kollégát, aki meghatározó szerepet vállal vállalati AI és Generative AI megoldások fejlesztésében. A pozícióban az AI Solution Architect által megtervezett architektúrából éles, üzleti környezetben működő alkalmazásokat építhetsz, miközben szakmailag irányítod a fejlesztőcsapat munkáját és biztosítod a magas minőségű fejlesztési folyamatokat.
Ha szívesen dolgoznál LLM-ekkel, RAG megoldásokkal, AI agentekkel, Azure AI Services-szel, és fontos számodra, hogy a fejlesztéseid valódi üzleti értéket teremtsenek, ez a lehetőség neked szól.
Description
Lead AI Engineer responsible for taking AI and Generative AI solution designs from architecture into working, production-ready software. The role leads technical implementation, guides developers, makes day-to-day engineering decisions, ensures code quality, and drives development from backlog refinement through deployment, monitoring, and support handover.
The role requires strong hands-on engineering skills, practical experience with Generative AI, RAG, agentic workflows, AI-assisted business applications, cloud-native development, APIs, integrations, CI/CD, testing, observability, and production operations. Computer Vision experience is a strong plus.
The Lead AI Engineer works closely with the AI Solution Architect, product owners, business stakeholders, developers, data engineers, cloud/security teams, and operations teams to ensure solutions are implemented correctly, maintainably, securely, and in line with agreed engineering standards.
What you will be doing
- Lead implementation of AI, GenAI, ML, automation, and AI-powered applications.
- Translate solution designs and requirements into development plans and working software.
- Drive engineering delivery aligned with the target architecture.
- Guide development teams on coding, integrations, testing, and operational readiness.
- Build GenAI and agentic solutions using RAG, embeddings, vector search, prompt engineering, tool calling, and workflow orchestration.
- Implement AI safety, quality controls, testing, and evaluation frameworks.
- Design and develop APIs, backend services, integrations, cloud-native components, and supporting front-end functionality.
- Lead code quality, reviews, CI/CD, documentation, and engineering best practices.
- Support deployments, monitoring, troubleshooting, performance optimization, and operational handover.
- Develop secure integrations with enterprise systems, data platforms, and business applications.
- Build cloud-native AI solutions, preferably on Azure AI services and platform components.
- Use AI-assisted development tools responsibly, ensuring human validation of outputs.
- Mentor engineers, coordinate technical delivery, and communicate progress, risks, and decisions to stakeholders.
- Bachelor’s or Master’s degree in Computer Science, AI, Data Science, Engineering, or a related field (or equivalent experience).
- 7+ years of experience in software engineering, AI, cloud, data engineering, or related technical domains, including 3+ years in a technical leadership role.
- Strong programming frontend and backend development skills, preferably in Python, with experience building APIs and scalable applications.
- Hands-on experience with Generative AI technologies, including LLMs, RAG, prompt engineering, vector search, and AI-powered workflows.
- Experience developing and deploying cloud-native solutions, preferably on Microsoft Azure and Azure AI services.
- Solid understanding of software engineering best practices, including testing, CI/CD, Git, observability, security, and production support.
- Knowledge of MLOps/LLMOps, data engineering fundamentals, and secure application integration.
- Proven ability to deliver secure, scalable, production-ready solutions in Agile, cross-functional environments.
- Strong analytical, communication, collaboration, and mentoring skills.
- Passion for innovation and emerging AI technologies.
- Fluent English.
- Working at the world’s only fully integrated aluminum and leading renewable energy company
- Diverse, global teams
- Flexible work environment/home office
- We provide you the freedom to be creative and to learn from experts
- Possibility to grow with the company, gain new certificates
- Attractive benefit package
At Hydro, we believe diversity makes us stronger. We welcome diverse experiences and perspectives, and invite all qualified candidates to apply. We review every application fairly and strive to provide equal opportunities for everyone to grow and succeed.
Tasks
- AI, Generative AI és automatizációs megoldások fejlesztésének szakmai vezetése
- AI architektúrák megvalósítása skálázható, éles környezetben működő alkalmazásokká
- LLM, RAG, vector search, prompt engineering és agentic AI megoldások fejlesztése
- Cloud-native alkalmazások, API-k, backend szolgáltatások és vállalati integrációk tervezése és fejlesztése
- AI biztonsági, tesztelési és minőségbiztosítási folyamatok kialakítása
- CI/CD folyamatok, kódminőség, dokumentáció és engineering best practice-ek biztosítása
- Fejlesztői csapat mentorálása, technikai iránymutatás és együttműködés Solution Architectekkel, Product Ownerekkel, Data Engineer, Cloud és Security csapatokkal
- Rendszerek monitorozásának, üzemeltetésének és folyamatos optimalizálásának támogatása
Expectations
- Felsőfokú végzettség IT, mérnöki, AI, Data Science vagy kapcsolódó területen
- Legalább 7 év szoftverfejlesztési tapasztalat, ebből minimum 3 év technikai vezetői szerepkörben
- Magabiztos Python és backend fejlesztési ismeretek
- Gyakorlati tapasztalat Generative AI, LLM, RAG, prompt engineering, vector search és AI workflow-k fejlesztésében
- Cloud-native alkalmazásfejlesztési tapasztalat, előnyt jelent az Azure és az Azure AI Services ismerete
- API-fejlesztési, CI/CD, Git, tesztelési és DevOps ismeretek
- MLOps vagy LLMOps, valamint vállalati rendszerek integrációjában szerzett tapasztalat előnyt jelent
- Folyékony angol nyelvtudás
Advantages
- Tapasztalat Computer Vision vagy multimodális AI megoldások fejlesztésében
- MLOps vagy LLMOps környezetben szerzett gyakorlat
- Azure AI Services, Azure OpenAI vagy más felhőalapú AI platformok ismerete
- AI agentek, workflow orchestration és enterprise AI alkalmazások fejlesztésében szerzett tapasztalat
- Adatmérnöki (Data Engineering) vagy vállalati rendszerintegrációs ismeretek
- AI biztonsági, AI governance vagy AI evaluation frameworkök alkalmazásában szerzett tapasztalat
- Microsoft Azure tanúsítvány(ok) vagy AI/Cloud minősítések
Employer's offer
- Lehetőség a legmodernebb AI és Generative AI technológiák alkalmazására nemzetközi projektekben
- Innovatív, szakmailag kiemelkedő csapat és modern technológiai környezet
- Hibrid munkavégzés és rugalmas munkakörnyezet
- Versenyképes juttatási csomag és hosszú távú karrierlehetőség egy globális vállalatnál
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Swicon Stories
Real people. Real challenges. Real impact.
„The whole hiring process was a really positive experience for me. I was given the opportunity to move forward professionally and to test myself in a new, more senior role. I was trusted from the start, and I had all the support I needed to take the next step in my career with confidence. They connected me with the right technical contact, and every question I had was answered quickly and clearly, so I never felt left on my own. Communication was smooth, each step built on the one before, and the whole process moved surprisingly fast and without a hitch.”
K. R. – Solution Architect
“Looking back over more than 15 years, Swicon gets top marks from me: it has built itself into a fast-growing multinational, and all the while it has backed its people professionally across the board — it even supported my PMP certification with a proper training course.”
B. T. – Sr. Projectmanager
“I’ve been working with SWICON for almost a year and a half now, and it’s been a positive experience from start to finish. Both the hiring process and the admin side of things ran smoothly, and whenever I had a question, help came quickly. I particularly appreciate how kind and helpful my colleagues are, and the fact that the company genuinely invests in building a community — there are regular programmes and events.
I’ve grown a lot professionally in my time here, too. My tasks and my responsibilities have kept widening, I’ve been able to take on more complex challenges, and I’ve also had the chance to support and mentor others. On the IT side I’ve been given opportunities that made a real difference to where I am professionally, so on the whole I see SWICON as a supportive place that gives you genuine room to grow.”
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