Senior Engineer (Python, Cloud, AI/GenAI)

Our requirements

• Python Expertise: Over 5 years of experience in writing high-quality, scalable code and designing robust software architectures using libraries like Steamlit , 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.

Your 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

About the project

This is how we organize our work

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

• 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
• free chat/call with a therapist
• Multisport card

Recruitment stages

• 1.
  Interview with the recruiter
• 2.
  Competency Tests/Language Verification
• 3.
  Video call with a manager
• 4.
  Final Decision

Capgemini Polska