AI Developer
We are seeking new colleagues to drive the design and delivery of advanced AI solutions across our Central AI Organization (APEX CAIO). This is an individual contributor role focused on strong technical execution, collaboration, and hands‑on development of enterprise‑grade AI products.
Our AI Engineering team is responsible for developing central products and services being reused across entire enterprise while shaping analytic and AI capabilities across the company. You will work alongside AI engineers, data scientists, product managers, and domain experts to build reliable, scalable AI systems and help elevate the organization’s AI literacy and adoption.
This role is ideal for someone who enjoys solving technical problems, learning new AI technologies, and contributing to cross‑functional projects without direct people‑management responsibilities.
What Will You Do?
Technical Impact & Execution:
Implement and improve AI systems, including generative AI and RAG‑based components
Own well‑defined development tasks within larger AI workstreams
Write high‑quality, maintainable code and follow engineering best practices
Integrate language models, vector databases, retrieval components, and evaluation tools under guidance from senior engineers
Contribute to model optimization for performance, reliability, and responsible AI use
Participate in experimentation and iteration of RAG pipelines, prompt strategies, and model‑driven workflows
Cross-Functional Collaboration:
Work with senior engineers, data scientists, platform teams, and SMEs to understand requirements and implement AI solutions
Communicate technical progress, risks, and trade-offs clearly within the team
Support adoption of AI products by collaborating with business and technical stakeholders
Thought Leadership & Strategy Contribution:
Contribute to improving engineering maturity by sharing learnings and good practices
Provide input into development of AI engineering patterns and operational guidelines
Stay informed about emerging AI technologies and bring forward relevant ideas
Help promote good observability, MLOps, and lifecycle management practices across AI systems
Ways of Working:
Participate actively in Agile ceremonies and planning activities
Provide input into technical prioritization and sprint planning
Maintain strong standards of documentation, testing, and monitoring for AI components
Qualifications, Skills & Experience Required
Education & Experience:
Bachelor’s or Master’s degree in Artificial Intelligence, Machine Learning, Computer Science, or a quantitative discipline
relevant experience in software/AI engineering
Experience contributing to production-grade AI or ML systems
Technical Expertise:
Solid Python skills and experience building AI/ML pipelines
Experience implementing AI solutions using cloud services, data pipelines, databases, APIs, and modern engineering tooling
Hands-on exposure to RAG systems, LLMs, vector databases, prompt engineering, or generative AI applications
Understanding of ML fundamentals (deep learning, optimization, evaluation, monitoring)
Experience with CI/CD, testing practices, or MLOps concepts
Ability to build and integrate RESTful APIs for AI-driven services
Nice to Have
Experience with AWS or other cloud providers
Work experience in Agile environments
Experience with containerization (Docker) and orchestration tools
Familiarity with prompt optimization or evaluation frameworks for generative AI
What We Offer
Exciting work in a great team, global projects, international environment
Opportunity to learn and grow professionally within the company globally
Hybrid working model, flexible role pattern
Pension and health insurance contributions
Internal reward system plus referral program
5 weeks annual leave, 5 sick days, 15 days of certified sick leave paid above statutory requirements annually, 40 paid hours annually for volunteering activities, 12 weeks of parental contribution
Cafeteria for tax free benefits according to your choice (meal vouchers, Lítačka, sport, culture, health, travel, etc.), Multisport Card
Vodafone, Raiffeisen Bank, Foodora, and other discount programs
Up-to-date laptop and iPhone
Parking in the garage for drivers or showers for bikers
Competitive salary, incentive pay, and many more
Ready to take up the challenge? Apply now!
Know anybody who might be interested? Refer this job!
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