AI Engineer

At Capco Poland, a global technology and management consultancy, the company partners with leading organizations across banking, payments, capital markets, wealth, and asset management, focusing on technology, data, and AI to solve complex challenges in financial services.

Data Science & Machine Learning:

• Practical experience developing and evaluating machine learning, statistical, or AI models.
• Strong Python skills and experience with modern data science and ML ecosystem.
• Understanding of model development, experimentation, feature engineering, validation, and performance evaluation.
• Experience applying ML solutions in real-world applications.

AI Engineering:

• Strong Python and software engineering skills, including clean code, testing, design patterns, and architecture.
• Experience building AI-powered applications, services, or platforms.
• Knowledge of API design, microservices, distributed systems, and cloud-native development.
• Hands-on exposure to Generative AI, LLMs, RAG, agents, or related AI architectures.

MLOps & AI Platforms:

• Experience building or operating ML/AI infrastructure and production pipelines.
• Practical knowledge of Docker and Kubernetes.
• Experience with CI/CD, automation, model deployment, monitoring, and model lifecycle management.
• Understanding of scalable, reliable, and secure production environments for ML and AI workloads.

General:

• Approximately 4+ years of professional experience in software engineering, data science, machine learning, MLOps, or AI engineering.
• Degree in Computer Science, Mathematics, Physics, Engineering, or relevant discipline, or equivalent experience.
• Strong problem-solving skills and engineering mindset.
• Knowledge of software engineering and application design practices.
• Ability to work effectively in Agile and collaborative environments.
• Curiosity and desire to continue learning in AI technologies and engineering.
• Ability to communicate technical ideas clearly and collaborate with both technical and non-technical stakeholders.

Preferred (Nice to have):

• Experience with LangChain, Haystack, Kubeflow, or similar frameworks and platforms.
• Experience designing LLM/RAG architectures, vector search, embeddings, AI agents, or GenAI applications.
• Experience with major cloud platforms and cloud-native AI/ML services.
• Experience designing and developing microservices architectures.
• Familiarity with MLOps frameworks and ML lifecycle best practices.
• Experience deploying and operating ML workloads on Kubernetes.
• Knowledge of DevOps, Infrastructure as Code, CI/CD, observability, and production monitoring.
• Experience working with enterprise-scale data and AI environments.
• Experience within banking, financial services, or regulated industries is welcomed.

• Design, develop, and productionize AI and machine learning solutions addressing business challenges.
• Explore and implement approaches in Machine Learning, Generative AI, Large Language Models (LLMs), and intelligent automation.
• Build AI applications and services using Python, APIs, microservices, and cloud-native technologies.
• Develop reusable AI/ML libraries, frameworks, components, and assets to accelerate AI adoption.
• Design and maintain ML and AI pipelines supporting lifecycle stages from experimentation to deployment and monitoring.
• Build scalable, resilient, secure, and maintainable systems for production-grade AI workloads.
• Apply MLOps, DevOps, and software engineering practices to AI solutions.
• Work with Docker, Kubernetes, cloud platforms, CI/CD pipelines, model registries, monitoring, and automation tools.
• Collaborate with engineers, data scientists, architects, business stakeholders, and client teams to turn ideas into reliable solutions.
• Help define and promote engineering standards, architectural principles, reusable patterns, and best practices for AI development.
• Stay close to emerging AI technologies and evaluate their value for clients.

Informujemy, że administratorem danych jest Capco_ z siedzibą w Warszawie___, ul. Rondo ONZ 1_____(dalej jako "administrator"). Masz prawo do żądania dostępu do swoich danych osobowych, ich sprostowania, usunięcia lub ograniczenia przetwarzania, prawo do wniesienia sprzeciwu wobec przetwarzania, a także prawo do przenoszenia danych oraz wniesienia skargi do organu nadzorczego. Dane osobowe przetwarzane będą w celu realizacji procesu rekrutacji. Podanie danych w zakresie wynikającym z ustawy z dnia 26 czerwca 1974 r. Kodeks pracy jest obowiązkowe. W pozostałym zakresie podanie danych jest dobrowolne. Odmowa podania danych obowiązkowych może skutkować brakiem możliwości przeprowadzenia procesu rekrutacji. Administrator przetwarza dane obowiązkowe na podstawie ciążącego na nim obowiązku prawnego, zaś w zakresie danych dodatkowych podstawą przetwarzania jest zgoda. Dane osobowe będą przetwarzane do czasu zakończenia postępowania rekrutacyjnego i przez okres możliwości dochodzenia ewentualnych roszczeń, a w przypadku wyrażenia zgody na udział w przyszłych postępowaniach rekrutacyjnych - do czasu wycofania tej zgody. Zgoda na przetwarzanie danych osobowych może zostać wycofana w dowolnym momencie. Odbiorcą danych jest serwis Rocket Jobs oraz inne podmioty, którym powierzyliśmy przetwarzanie danych w związku z rekrutacją.