Applied AI Developer (m/f/d)

Role overview

Würth Elektronik eiSos GmbH & Co. KG in Munich is hiring an Applied AI Developer for a full-time role with a 36-hour work week. The position focuses on turning AI ideas into usable, production-ready solutions that support internal teams and make engineering knowledge easier to access.

About the company

Würth Elektronik Group develops and sells electronic components, including printed circuit boards, electromechanical parts, electronic components and complete system assemblies. With about 7,300 employees and operations across several markets, the company is part of the Würth Group and is known for strong team culture and high commitment.

What you will do

• Build AI applications that improve access to product and engineering knowledge for internal users.
• Work with stakeholders, product owners and subject-matter experts to turn business needs from electrical engineering and product knowledge into practical technical concepts.
• Develop AI capabilities end to end, from early prototypes and assessments through to production deployment of model-based and workflow-based solutions.
• Focus on reliability, scalability and solution quality by using sound engineering methods and appropriate validation techniques for knowledge-heavy use cases.
• Help define development standards, architecture choices and best practices for applied AI work.
• Share expertise with teammates, create reusable implementation patterns and contribute to the company’s long-term AI capability.

What the employer is looking for

• A degree in Computer Science, Artificial Intelligence, Data Science, Mathematics, Statistics or a similar subject, or an equivalent practical background with relevant experience.
• Several years of hands-on experience in AI, machine learning or applied data-driven product development.
• Practical experience designing, prototyping and building AI solutions in business or product settings.
• Strong interest in finding AI use cases with real business value and turning them into workable solutions.
• Ability to communicate effectively between technical and business teams and translate non-technical requirements into sustainable AI systems.
• Solid Python programming skills.
• Good command of modern development practices such as version control, testing, API use and deployment-oriented implementation.
• Sound judgment to decide when AI is the right approach and when a conventional solution is better.

What is offered

• Competitive pay with regular bonuses and additional special payments, including support for occasions such as weddings, births, anniversaries and loyalty milestones.
• A trial day during the hiring process so candidates can get a realistic feel for the role.
• Structured onboarding after joining.
• Training and growth opportunities through feedback discussions, development programs and individual learning offers from Würth Academy.
• Financial security benefits such as capital-forming benefits and a company pension plan.
• Insurance discounts, including for legal expenses insurance.
• Health and fitness support such as a job bike, occupational health services, health days, sports classes, health workshops and discounted access to fitness studios across Germany.

Work culture

The company emphasizes strong collaboration, shared goals and a people-focused environment. Team members work together to build intelligent solutions for the electrical industry while keeping the human side of the workplace in view.

Additional information

This role is based in Munich, Bavaria, Germany, and is offered as a full-time onsite position. The listing also references a 36-hour work week. Contact information shown in the source includes Stefan Mager from Human Resources, along with the company address at Clarita-Bernhard-Straße 9, 81249 München, Germany.

The source also contained navigation and site elements such as language options, job offers, proactive application, career and FAQ application process, which have been omitted from the job content.

Applicants are invited to join the team and help make AI productive in real-world use.