Machine Learning & AI Engineer

General Information

We are looking for an experienced AI Engineer to design, build, and operate production-ready, enterprise-grade AI solutions with measurable business impact.

This is a hands-on technical leadership role with a strong focus on LLM-based applications, agentic AI workflows, and scalable AI platforms. You will combine AI engineering expertise with strong software engineering and cloud-native practices to deliver secure, reliable, observable, and compliant AI products.

As a player-coach, you will provide technical direction and guide a small cross-functional AI team while actively contributing to architecture, implementation, evaluation, and continuous improvement.

Your Key Responsibilities

• Architect, design, and implement end-to-end AI systems, including data pipelines, backend services, frontend interfaces, and AI orchestration components.
• Develop and operate LLM-based applications, retrieval-augmented generation (RAG) workflows, and agentic AI solutions.
• Build and maintain AI platform and harness components, including tool integrations, context management, guardrails, and evaluation of pipelines.
• Lead and guide a small cross-functional AI development team, providing technical clarity, direction, and hands-on support.
• Establish feedback loops and measurable evaluation frameworks to improve AI quality, performance, reliability, and cost efficiency.
• Ensure AI solutions are production-ready, scalable, observable, secure, and aligned with enterprise and regulatory requirements.
• Apply post-training and fine-tuning techniques to improve model performance for relevant use cases.
• Deliver AI functionality iteratively, with clear business outcomes and stakeholder value.
• Collaborate with R&D, product management, quality, cybersecurity, sales, support, services, Global IT, and external technology partners.
• Contribute technical expertise and forward-looking know-how to support the division’s AI strategy.
• The opportunity to build enterprise-grade AI products that address real industrial and business challenges.
• Responsibility for technical direction and the development of a small, cross-functional AI team.

Your Qualifications

• University degree in Computer Science, Applied Computer Science, Software Engineering, Data Science, or a comparable field.
• Proven experience designing, building, and operating AI- or LLM-based applications in production environments.
• Strong knowledge and track record of AI engineering skills (e.g. Python, Pytorch, Transformers, post-training, fine-tuning of LLMs, RAG frameworks, agent architectures)
• Experience designing reliable, secure, and scalable enterprise applications.
• Experience leading small teams or technical initiatives in a hands-on, player-coach capacity.
• Excellent analytical, problem-solving, communication, and organizational skills.
• Experience collaborating effectively in international and cross-functional teams.

Our Offering

• Onboarding & Integration: we help you settle in quickly through our onboarding program and a team that supports you;
• Health & Life Insurance: we provide private health plans and life insurance, so you can have peace of mind;
• Discounts: enjoy discounts from our partners on activities, trainings, goods etc.;
• Bookster Subscription: are you a passionate reader? Then you can borrow your favorite books from the Bookster Library;
• Professional Development: with our variety of projects and teams, you'll be able to learn new skills, develop and shape the career path that fits you best;
• Bonuses: performance bonuses reward your achievements, and through referral bonuses we thank you for helping our team grow;
• Gift for Special Occasions: celebrate Easter, 8th of March or the Winter Holiday;
• Vacation Days: we truly believe in long-term partnerships, and we’re committed to supporting your well-being with a generous vacation policy from the start of your journey with us;
• Meal Tickets: we’re happy to offer meal tickets as part of your everyday benefits, helping make your lunch breaks more enjoyable;
• Flexibility: you can balance your work and personal life with arrangements tailored to your job and responsibilities.