Senior Engineer (Python, Cloud, AI/GenAI)

Your role

You will play a key role in designing and delivering scalable Python-based solutions in cloud environments. Working with international teams, you will contribute to complex software systems, support AI and GenAI initiatives, and influence technical standards across projects. You can expect a role with real impact, combining hands‑on development, architecture design, and knowledge sharing within a strong engineering community.

Responsibilities

• Design and develop scalable back‑end solutions using Python in cloud environments
• Contribute to solution architectures across Python, cloud and Java‑based systems
• Act as a technical consultant or lead in Python development projects
• Support AI and GenAI initiatives, including LLM‑based solutions
• Promote clean code, best practices, and high engineering standards
• Mentor team members and share technical knowledge through workshops

Your profile

• Python Expertise: Over 5 years of experience in writing high‑quality, scalable code and designing robust software architectures using libraries like Streamlit, Flask, SQLAlchemy, Celery etc.
• Preferred AI Development Proficiency: Strong knowledge of Python libraries such as NumPy, Pandas, Scikit‑learn, TensorFlow, and Keras, with practical experience in building AI‑powered applications.
• Preferred AI and LLM Skills: Expertise in frameworks like LangChain and hands‑on experience with large language models (e.g., GPT‑4, LLaMA). Proficient in working with embeddings, vector databases, and prompt engineering.
• System Integration: Proven ability to seamlessly integrate AI components with other system elements (e.g., APIs, databases) to deliver cohesive solutions.
• Language Skills: Excellent command of English; knowledge of German is a plus.
• Continuous Learning: Eager to adopt new technologies and embrace technical challenges.
• Collaboration and Independence: Highly organized, self‑reliant, and passionate about sharing knowledge. Strong communication and teamwork abilities.
• Commitment to Excellence: Dedicated to building and contributing to a Center of Excellence for AI development, driving innovation and promoting best practices across the organization.

Benefits

• 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.

• Training tracks: Access to over 70 training tracks with certification opportunities (e.g., GenAI, Architects, Google) on our NEXT platform. Free access to Education First languages platform, TED Talks and Udemy Business materials and trainings.

• 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: Choose from over 20 professional communities that gather people interested in, among others: Salesforce, Java, Cloud, IoT, Agile, AI.

EEO and Inclusion

Capgemini is committed to diversity and inclusion, ensuring fairness in all employment practices. We evaluate individuals based on qualifications and performance, not personal characteristics, striving to create a workplace where everyone can succeed and feel valued.