Senior Software Engineer (Agentic AI, Cloud-native, On-prem)

About the project

In this role, you will design and implement GenAI solutions in the cloud and on‑premises, connecting LLMs with existing systems and cloud services. You will build cloud‑native components, handle integrations (APIs/events), apply RAG patterns and model evaluation, and address security and cost considerations. You’ll lead initiatives from PoC through MVP to production scale, working closely with architects, product teams and security. You can expect real influence on technical decisions, a quality‑driven environment, and the use of tools that streamline development—where they provide measurable value.

Your responsibilities

• Design and build GenAI applications (cloud/on‑prem) using LLMs and cloud services.
• Implement RAG patterns, vector search, and prompt orchestration.
• Integrate with client systems (APIs, events/queues) and automate CI/CD (Azure DevOps/GitHub Actions).
• Enable AI‑assisted engineering (e.g., GitHub Copilot); run code reviews for quality, security and prompt patterns.
• Lead workshops/PoCs and take solutions to MVP, then scale them in production.
• Collaborate with Architecture, Data/ML and Sec/Compliance; ensure quality, performance and security.
• Document solutions and share knowledge (mentoring, playbooks).

Our requirements

• A technical degree and a solid foundation in software engineering.
• Experience building applications or integrating AI/LLM services (Azure OpenAI/OpenAI API or open‑source models).
• Hands‑on development in Python or Java/TypeScript/.NET, plus experience building APIs/integrations.
• Knowledge of RAG patterns, vector search (e.g., FAISS/Pinecone) or frameworks (LangChain/Semantic Kernel).
• Experience with cloud (Azure/AWS/GCP) and CI/CD (Azure DevOps/GitHub Actions);
• Understanding security, data protection, and cost control in GenAI.
• Fluent in English at B2 or above;

Optional

• Experience running workshops/mentoring;
• Experience in containers (Docker/Kubernetes).

What we offer

• Practical benefits: private medical care with Medicover with additional packages (e.g., dental, senior care, oncology) available on preferential terms, life insurance and 40+ options on our NAIS benefit platform, including Netflix, Spotify or Sports card.
• Access to over 70 training tracks with certification opportunities (e.g., GenAI, Architects, Google) on our NEXT platform. Dive into a world of knowledge with free access to Education First languages platform, TED Talks and Udemy Business materials and trainings.
• Enjoy hybrid working model that fits your life - after completing onboarding, connect work from a modern office with ergonomic work from home, thanks to home office package (including laptop, monitor, and chair). Ask your recruiter about the details.
• Community Hub that will allow you to choose from over 20 professional communities that gather people interested in, among others: Salesforce, Java, Could, IoT, Agile, AI.

Benefits

• free chat/call with a therapist
• private medical care
• sharing the costs of foreign language classes
• sharing the costs of professional training & courses
• life insurance
• flexible working time
• integration events
• corporate sports team
• no dress code
• parking space for employees
• extra social benefits
• sharing the costs of tickets to the movies, theater
• redeployment package
• christmas gifts
• employee referral program
• charity initiatives

Recruitment stages

• Interview with the recruiter
• Competency Tests/Language Verification
• Video call with a manager
• Final Decision

Capgemini Polska

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fuelled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of €22.5 billion.

This is how we work