Senior Agentic AI Engineer

Description

The company is hiring a Senior AI Engineer focused on agentic AI for its Warsaw downtown office.

You will design, build and deploy autonomous AI systems that shape the team's next generation of intelligent tools, working across the whole AI lifecycle from data to production.

This role is for experienced professionals.

Responsibilities

• Lead the design, build and rollout of agentic AI systems, including multi-agent architectures, reasoning engines and autonomous decision-making modules.
• Work with data scientists and product owners to turn complex business problems into reliable, scalable AI solutions.
• Develop and tune AI models for performance, reliability and interpretability within agentic frameworks.
• Design and build data pipelines and infrastructure for training and running AI agents, applying data engineering best practices.
• Apply software engineering principles to produce production-ready, maintainable and well-documented AI systems.
• Take part in Agile work, including sprints, stand-ups and retrospectives.
• Work with DevOps teams to integrate, deploy and monitor AI solutions in enterprise and cloud environments.
• Help shape the long-term enterprise IT architecture, with a focus on AI capabilities.
• Apply strict software quality assurance to AI models and agentic systems, covering testing, validation and performance monitoring.
• Keep up with advances in agentic AI, machine learning and related technologies, and suggest ways to innovate.

Requirements

• A bachelor's or master's degree in computer science, artificial intelligence, machine learning or a related quantitative field.
• 5+ years of experience in AI engineering, with a strong focus on designing and implementing agentic AI systems.
• Proven skill in at least one major programming language, such as Python, Java or C++, and a solid grasp of object-oriented design.
• A solid understanding of data science, including machine learning algorithms, statistical modeling and data analysis.
• Experience with cloud platforms such as AWS, Azure or GCP, and familiarity with enterprise and cloud computing concepts.
• Hands-on experience with DevOps practices and tools for CI/CD, containers such as Docker or Kubernetes, and infrastructure as code.
• Strong software engineering habits, including version control with Git, code reviews and testing methods.
• Proficiency in data engineering, including data warehousing, ETL processes and big data technologies.
• Experience with Agile methodologies.
• Familiarity with software quality assurance processes for AI and software development.
• Strong problem-solving skills, with the ability to analyse complex technical challenges and propose workable solutions.
• Clear communication and the ability to collaborate well in cross-functional teams.

Conditions

Full-time employment only, under a Polish employment contract (Umowa o Pracę). Apply only if you accept this.

Hybrid setup: you can work from home two days a week and spend the rest in the Warsaw downtown office.

Job number R000151205.

The company is an equal opportunity employer that values diversity and wants everyone to feel welcome and able to bring their whole self to work.

Benefits

• Project ownership and autonomy from day one, with responsibility for delivering change and results.
• A dynamic, supportive workplace that puts people first, encourages initiative and supports work/life balance.
• Ongoing coaching and mentoring from your line manager and colleagues, plus corporate and functional training from day one.
• Support for industry certifications such as ITIL, DevOps and Microsoft portfolio certifications.
• Private healthcare, Dynamic Living programmes including sport cards, an in-office fitness centre, company stock options, savings plans, a lunch subsidy, regular salary reviews, possible promotions, flexible work arrangements and mentoring programmes.
• A broad view of the IT and Product Supply organisation and its services across global, multi-functional teams in several locations on different continents.