Applied AI Engineer

About the Role

A leading frontier AI company is looking for an Applied AI Engineer to join their Solutions team in Munich.

This is a customer-facing technical role, but the balance is heavily technical: roughly 20% involves presales support, onboarding, and client guidance - the other 80% is designing, developing, and deploying AI solutions for B2B enterprise clients.

Your stakeholders are technical. You won't be simplifying things for non-technical audiences - you'll be working directly with data scientists, software engineers, and CTOs on complex, high-impact implementations.

This is not a consultancy role. You'll operate with the mindset of a startup CTO embedded in a world-class AI team: owning projects end-to-end, shipping working solutions, and collaborating closely with researchers and product engineers on the company's most challenging customer problems.

What You'll Do

• Deploy AI solutions into production across various industries, delivering measurable business impact
• Build state-of-the-art GenAI applications - from consumer products to industrial use cases
• Develop complex implementations involving fine-tuning, advanced RAG pipelines, agentic workflows, and custom LLM applications
• Participate in presales calls to understand client needs and provide technical guidance
• Collaborate with researchers and product engineers on the team's most demanding customer projects
• Feed customer insights back into product and model development

How the Team Works

• What matters is what you ship, not the time you spend on it
• No bureaucracy - you talk to whoever you need to, the best idea wins
• Low ego, high standards; direct, honest feedback
• Unstructured environment where people find joy in ambiguity

About You

• Fluent in English and German (required for this Munich-based role)
• 2+ years as a technical individual contributor (data scientist or software engineer) on AI-based products
• Proven experience implementing AI/ML products with APIs, back-end and front-end interfaces
• Hands-on experience with fine-tuning LLMs, advanced RAG, or agentic use cases
• Deep understanding of machine learning concepts and the algorithms underlying LLMs
• Strong Python coding skills
• Able to explain complex technical concepts clearly to technical audiences

Nice to Have

• Open-source contributions, especially in the LLM space
• Prior experience as a Customer Engineer, Forward Deployed Engineer, Solutions Architect, or Technical PM
• Experience with PyTorch and deep learning

Compensation

• Base salary + equity

Job Type: Full-time

Pay: 61.504,42€ per year

Application Question(s):

• Cover letter
• Expected Salary

Work Location: In person