Lead AI Engineer/Architect

Full-time, Agreement-based
Bratislava

Job description

What you will do:

AI Solution Development:

  • Design and build LLM-based AI applications for big accounts in banking, insurance, telco, energy and manufacturing sectors.

  • Implement classical ML solutions (e.g., anomaly detection, signal analysis, fraud detection).

  • Ensure solutions are modular, extensible, and production ready.

  • Stay ahead of emerging trends and technologies in AI, continuously exploring and integrating the next big thing into practical, scalable solutions.

 Architecture & Deployment:

  • Design cloud-native architectures in Azure and AWS (GCP occasionally).

  • Deploy and operate containerized applications using Kubernetes and cloud-native tooling.

  • Ensure system reliability, performance, and security compliance.

  • Collaborate with DevOps teams for automated deployment, monitoring, and scaling.

 Technical leadership:

  • Drive the technical implementation of AI projects across their full lifecycle (PoC, MVP, production-grade systems).

  • Act as the technical counterpart to the Head of AI on architecture and design decisions.

  • Establish and enforce engineering standards, including clean code and design best practices.

  • Mentor junior engineers and guide them in building robust, maintainable systems.

 Code Quality & Engineering Excellence:

  • Write clean, structured, and object-oriented code following SOLID principles.

  • Apply software engineering best practices: version control, peer reviews, code linting, testing, and CI/CD.

  • Promote reusable components, clear abstractions, and maintainable architecture.

  • Ensure strong test coverage (unit, integration, regression).

 Quality & Security:

  • Integrate data governance and security best practices into AI solutions.

  • Support compliance efforts and secure handling of sensitive data.

  • Contribute to architecture documentation and audits.

 Collaboration:

  • Work closely with product owners, project managers, and clients in agile environments.

  • Translate business needs into technical architecture and implementation plans.

  • Participate in technical pre-sales discussions when required.

Requirements

What you will bring:

Experience:

  • 5+ years in AI / ML engineering with a focus on delivering production-grade solutions.

  • Proven experience leading or technically driving AI projects.

  • Strong understanding of AI concepts and applications (e.g., machine learning, NLP, computer vision, LLM), with the ability to translate them into business solutions.

  • Experience working in agile teams (Scrum).

Technical skills:

  • Excellent Python skills, including OOP, design patterns, and modular architecture.

  • Proficiency with AI/ML frameworks like PyTorch, LangChain, LlamaIndex.

  • Hands-on experience with vector databases, embeddings, and prompt engineering.

  • Deployment experience in Azure or AWS (GCP is a plus).

  • Strong experience with containerization and orchestration (Docker, Kubernetes)

  • Strong understanding of MLOps principles and tooling.

  • Experience integrating with enterprise systems (APIs, identity providers).

  • Familiarity with security and compliance in AI systems.

Organizational skills:

  • Experience leading small AI teams and mentoring junior engineers

  • Ability to structure and technically lead projects from PoC to production.

  • Experience working in agile teams (Scrum).

Soft skills:

  • Proactive, autonomous, and structured.

  • Innovative mindset with a strong drive to experiment, learn, and bring new ideas into practice.

  • Excellent communication in Slovak and/or Czech with a good command of English (written and spoken).

  • Comfortable working with both technical and business stakeholders.

Nice to Have

  • Experience with regulated industry environments (banking, insurance, energy, healthcare).

  • Knowledge of infrastructure as code.

Benefits

  • Engaging projects across diverse industries, offering continuous professional challenges and growth opportunities

  • Tailor-made learning & development program, complemented by monthly in-house workshops to boost your skills

  • Flexible working hours and the possibility of home office

  • Modern, inspiring office environment with daily perks such as breakfast, fresh fruit, and yoga sessions

Company description

Who we are

Ableneo is a partner for AI and technology-driven transformation. We combine deep software engineering with business consulting to help organisations implement intelligent systems that deliver measurable results and reduce the risk of failed innovation.

What we do

AI & Data Enabling. We deploy chatbots and LLM solutions, automate documents and workflows, and work with Computer Vision. Our focus is on solving concrete business problems with AI and achieving a high success rate in real use cases.

Business Optimisation & Efficiency. We streamline processes, reduce delays, automate operational work, and set up more efficient ways of working.

Product Design & Development. We design and build digital products, customer journeys, and scalable platforms that support long-term growth.

Software Engineering. We offer flexible delivery models. From specialised roles to full teams, supporting both fast-growing companies and established enterprises.

Why join us

We have years of experience and strong references across startups, scale-ups, and large organisations. We work on assignments where AI makes real impact. For example, in the banking sector we validated an LLM solution with a high success rate in a real proof-of-concept.

At Ableneo you will work on projects that push the boundaries of AI and software engineering. You will solve complex problems, collaborate with decision-makers, and help build systems that have immediate business value.

If you want to shape the next generation of intelligent software, let’s talk.

Alexandra Gašparová

alexandra.gasparova@ableneo.com