AI Engineer (m/w/d)

Worldwide | Sept. 26, 2026

Report as Closed

Company: Nerdware

Country: Worldwide

Type: Onsite

Employment: Experienced

Description:
Your Career

We are looking for experienced AI engineers who not only demonstrate AI, but also get it productive - as part of complex business applications that have to be part of our customers' everyday lives. You are a software developer with real engineering depth, ideally with full-stack experience, and you are confident in cloud environments such as AWS and/or Azure. You think about LLMs, agents and data-driven services right from the start - and know where they make technical sense and where they don't.

A focus for us is agentic engineering: systems that not only respond, but act - with tool access, multi-stage processes, status, error handling and clearly defined boundaries. This is exactly where the prototype separates from the solution that you hand over to a customer with a clear conscience. And this is exactly where we need people who can do both: understand models and build robust software.

What's important to us is that this role remains hands-on. You build yourself, you deploy yourself, you debug yourself.

At nerdware, the focus is not just on the code, but above all on the people behind it. The best technical solution arises where team spirit, open communication and mutual trust are practiced. If you are a good fit for us, you have already taken the most important step.

We work in a field that is changing faster than any other in software development. That's why we're looking for people who take responsibility, remain curious and can distinguish hype from substance. Personal initiative, technical foresight and the joy of developing solutions together are just as important to us as respectful and appreciative interaction in the team.

• Conception, development and further development of AI-supported software solutions - from the initial idea to stable productive operation
• Agentic engineering: design and implementation of agentic systems - tool and function calling, orchestration of multi-stage workflows, Context and state management, retries and fallbacks, human-in-the-loop and sensible guardrails
• Design and implementation of LLM applications: RAG pipelines, structured extraction, evaluation, observability
• Integration of ML models, foundation models and data-driven services into existing or new systems - including the APIs, data flows and infrastructure around them
• Hands-on development scalable, maintainable and high-performance applications on modern technologies and cloud platforms (AWS Bedrock/SageMaker, Azure OpenAI/AI Foundry or similar)
• Identification of AI use cases in customer projects - and the honest assessment of when an agent is the right answer and when a deterministic solution is the better
• Agentic coding in your own everyday work: AI tools productively and responsibly in development, review and delivery - and show the team how it's done
• Technological advice for our customers on architecture, technology and make-or-buy decisions
• Ensuring code quality through clean code, tests, reviews and best practices
• Active participation in our growing AI field of expertise - setting topics, bringing knowledge to the team, establishing standards

• Several years of experience in modern software development, ideally in a full-stack environment - you are and remain a developer <3
• Practical experience with LLMs and generative AI in real projects: prompting, RAG, embeddings/vector databases, function calling, fine-tuning or agent frameworks. 
• Experience or serious interest in agentic engineering - you have already taken an agent beyond demo status or are eager to do so
• Solid understanding of ML fundamentals and data processing - you know what a model can do and what its limitations are
• Cloud development with AWS and/or Azure, including CI/CD, containers and infrastructure as code
• Confident use of clean code, SOLID principles and the design of clean software architectures
• Independent, responsible way of working with strong analytical and conceptual skills
• The ability to develop pragmatic solutions for complex requirements - and to think outside the box
• High motivation and passion for software development and for a field of technology that reinvents itself every month
• Very good knowledge of spoken and written German (C1), as well as good knowledge of English

• Angular
• .NET
• NestJS

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