Senior AI Developer

Job Description

We are seeking a new colleague to drive the design and delivery of advanced AI solutions across our Central AI Organization (APEX CAIO). This is a senior individual contributor role focused on strong technical execution crossorganizational influence and handson development of enterprisegrade AI products.

Our Custom AI Engineering team is responsible for the development of tailored AI products across all divisions 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 organizations AI literacy and adoption.

This role is ideal for someone who excels as a deep technical contributor systems thinker and collaborative problem solver without direct peoplemanagement responsibilities.

What Will You Do

Technical Impact & Execution:

• Design and implement robust and scalable AI systems including generative AI and RAGbased solutions

• Lead significant AI development workstreams as a senior technical contributor

• Build highquality maintainable code and apply engineering best practices across the team

• Select and integrate appropriate language models vector databases retrieval strategies and evaluation frameworks

• Optimize and finetune models for performance reliability security and responsible AI use

• Contribute to continuous experimentation and improvement of RAG pipelines prompt strategies and modeldriven workflows

CrossFunctional Collaboration:

• Work closely with tech leads data scientists platform teams and SMEs to define requirements and translate them into production-ready AI solutions

• Communicate findings risks and trade-offs clearly to influence decisions within your scope

• Support adoption of AI products by partnering with business stakeholders and technical teams

Thought Leadership & Strategy Contribution:

• Serve as an experienced AI engineer who helps uplift engineering maturity through guidance and knowledge sharing

• Contribute to evolving our AI engineering patterns architectural practices and operational approaches

• Evaluate emerging AI technologies and provide input on their responsible use within the enterprise

• Advocate for solid observability MLOps practices reliability and lifecycle management of AI systems

Ways of Working:

• Actively participate in Agile ceremonies and support planning of technical work

• Provide input into technical prioritization and roadmap discussions

• Maintain high standards of documentation testing and monitoring for AI components

Qualifications Skills & Experience Required

Education & Experience:

• Bachelors or Masters degree in Artificial Intelligence Machine Learning Computer Science or a quantitative discipline

• Relevant experience in AI engineering ML engineering or applied machine learning roles

• Proven track record of contributing to complex production-grade AI systems as a senior individual contributor

Technical Expertise:

• Strong Python skills and experience building modern AI/ML pipelines

• Solid experience designing implementing and scaling AI solutions with cloud services data pipelines databases APIs and modern engineering tooling

• Hands-on experience with RAG systems LLMs vector databases prompt engineering and generative AI applications

• Solid understanding of ML fundamentals (deep learning optimization evaluation monitoring)

• Experience with CI/CD MLOps automated testing and model observability

• Ability to design and build RESTful APIs for AI-driven services

Collaboration & Communication:

• Excellent communication skills with the ability to translate technical concepts for diverse audiences

• Demonstrated ability to collaborate effectively and contribute to technical direction within a team

• Strong analytical and problemsolving skills; comfortable working in complex evolving environments

Nice to Have

• Experience with AWS or other cloud providers

• Work experience in Agile environments

• Experience with containerization (Docker) and orchestration tools

• Prior experience 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 (Canadian Medical) 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 and Foodora discount programs

• Up-to-date laptop and iPhone

• Parking in the garage showers refreshments massage chairs library music corner

• Competitive salary incentive pay and many more

Ready to take up the challenge Apply now!
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