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Applied AI Engineer

techtree · München, BY, DE

Actively hiring Posted 5 days ago
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Role overview

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.

Responsibilities

  • 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

Basic qualifications

  • 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

Preferred qualifications

  • 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

Benefits

  • Base salary + equity

Tags & focus areas

Used for matching and alerts on DevFound
Fulltime Ai Ai Engineer Data Science

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