AI Engineer

Revive GmbH
München, Germany
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate
Compensation
€ 110K

Job location

München, Germany

Tech stack

Artificial Intelligence
Automated Storage and Retrieval Systems
Monitoring of Systems
Python
Machine Learning
Open Source Technology
Software Engineering
TypeScript
Unstructured Data
React
Large Language Models
Kaggle
FastAPI

Job description

  • Build evaluation frameworks, monitoring systems, and automated feedback loops to improve model performance.
  • Create scalable pipelines for processing large volumes of structured and unstructured data.
  • Own the reliability, scalability, and architecture of production AI systems.
  • Work closely with product and engineering teams to translate customer needs into AI-powered solutions.
  • Contribute directly to the technical direction and future architecture of the platform.

Requirements

  • 2+ years of experience building production AI, ML, NLP, or LLM-powered systems.
  • Strong understanding of retrieval systems, embeddings, RAG architectures, and unstructured data processing.
  • Experience deploying and maintaining AI applications in production environments.
  • Strong software engineering skills with Python and modern development practices.
  • Ability to move quickly, operate with ambiguity, and take ownership from idea to production.
  • Excellent communication skills and a product-focused mindset.

Nice to Have

  • Experience with FastAPI, React, or TypeScript.
  • Startup, founding engineer, or early employee experience.
  • Experience at high-performance technology companies or research-driven organisations.
  • Background in machine learning competitions, Kaggle, Olympiads, research, or other recognised technical achievements.

Who We're Looking For

This team is highly selective and looks for candidates who demonstrate clear signals of excellence beyond day-to-day engineering experience.

Examples might include:

  • Exceptional academic achievement.
  • Experience at companies with unusually high hiring bars.
  • Founding engineer or startup-building experience.
  • Significant open-source, research, or technical contributions.
  • Outstanding career progression relative to years of experience.
  • Competition achievements, scholarships, or other indicators of exceptional problem-solving ability.

Benefits & conditions

  • Join a YC-backed startup with strong product-market fit and significant growth ahead.
  • Work on cutting-edge AI systems with real-world commercial impact.
  • Be part of a small, high-performing engineering team where your work directly influences company success.
  • Meaningful equity participation and long-term upside.
  • Visa sponsorship and relocation support available.
  • Optional subsidised accommodation near the office.
  • Company-funded meals throughout the week.
  • Gym and sports membership.
  • Annual team offsite in San Francisco.
  • Opportunity to help shape both the product and engineering culture as the company scales.

About the company

Our client is a rapidly growing AI startup transforming how industrial and commercial businesses manage quoting, ordering, and operational workflows. Backed by Y Combinator and already generating over €2M ARR, they are building AI-native software that automates complex business processes using large language models, retrieval systems, and intelligent agents. With strong product-market fit, increasing customer demand, and plans to scale rapidly following their next funding round, they are looking for an AI / LLM Engineer to help build the next generation of their platform. This is an opportunity to join an elite team of engineers, researchers, and founders from leading technology and research institutions, working on production AI systems that deliver measurable business impact.

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