Senior AI Software Developer (Python & Cloud) (All Genders)

Description

Schaeffler is a dynamic global technology company and its success has been a result of its entrepreneurial spirit and long history of private ownership. Does that sound interesting to you? As a partner to all of the major automobile manufacturers, as well as key players in the aerospace and industrial sectors, we offer you many development opportunities.

Our Offer

• Be a part of a global company & international team with a diverse variety of backgrounds, skills and views.

• As part of our IT team, you will actively shape the technology and solutions used by Schaeffler

• Grow with us! Get access to training platforms, internal & external trainings, supporting experts and the real-life challenges, where you will put all your skills in practice.

• We work in a hybrid working model (or a fully remote in a special cases) with flexible working hours. Our modern office is located in the center of Wroclaw.

• We offer attractive benefits package, such as medical and dental care, sports card, life insurance for you and your family. We are also providing access to our Mental Comfort Program.

• Our Cafeteria Platform allows you to choose from various benefit options with points monthly added to your account. Haven’t found what you are looking for? Our concierge will be happy to help!

• Join our CSR activities, such as tree planting, riverside cleanup, or participate in other charity events.

• Spend some time with your work colleagues during integrational events such as mountain trekking, city games and workshops. You can join also one of our many Passion Clubs like Foodies, Sports Team and Language Clubs as well!

• We look forward to your application.

Your Qualifications

• Completed studies in one of the following fields: Computer Science, AI, Data Science, Software Engineering, or related field, or comparable qualifications with corresponding practical experience

• Minimum 6 years of experience in Software Engineering, including at least 5 years focused on backend development with Python in production environments

• Fluency in both English and Polish, with a minimum of B2 level proficiency

• Knowledge of German is a plus

• Proficiency in building and scaling production-grade applications

• Demonstrated experience with AI technology, such as AI Agents, RAG, MCP, including quality assurance of AI systems

• Proven experience working with managed cloud services (AWS or Azure), including AI services, storage and databases

• Familiarity with deployment of containerized applications in scalable cloud environments, e.g., Kubernetes

• Experience managing API integrations and coordinating with external AI platforms and internal systems

• Strong problem solving skills and ability to remove technical roadblocks

• Effective collaboration skills for cross-functional teamwork

• Growth-oriented mindset and willingness to explore new technologies

• Capability to take ownership of technical decisions, contribute to efficient and maintainable architectures, and support other developers through knowledge sharing and mentoring

• Hands-on experience with with AI agent development and orchestration frameworks, such as LangChain and LangGraph, or similar is a plus

• Proven track record in designing multi-agent systems and adaptive decision logic is an advantage

• In-depth understanding of prompt engineering and fine-tuning LLMs is considered an asset

Słowa kluczowe

• Experienced

• Engineer

• Full-Time

• Unlimited

• Digitalization & Information Technology

Recruitment Team

• OR-WRO-Candidates@schaeffler.com

Your Key Responsibilities

• Designing, implementation, and testing multi-agent workflows and adaptive decision logic

• Collaborating with AI Prompt & Agent Engineers, Data Engineers, and other stakeholders to optimize system architecture

• Contributing to architecture, design, and technical direction of solutions

• Optimizing prompts and fine-tune LLMs for domain-specific applications

• Building scalable backend services and orchestrate integrations across cloud environments

• Coordinating API integrations with external AI platforms, internal systems, and MCP servers

• Developing APIs, connectors, and interfaces ensuring secure, scalable communication across platforms

• Contributing to technical documentation and continuous process improvements

• Supporting culture of innovation, collaboration, and knowledge sharing