Hiring.Camp

AI Engineer

Revive IT Recruitment

·

Jun 8, 2026

Salary
€70k – €110k/yr
Location
Munich, BY
Workplace
Onsite
Type
Full-time
Department
IT
Experience
2+ years
Closing date
Today
Source
Vincere

Description

AI / LLM Engineer Munich YC

 

AI / LLM Engineer

Munich, Germany (100% On-Site) €70,000 – €110,000 + Equity YC-Backed AI Startup | Seed Stage | €2M+ ARR

The Opportunity

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.

What You'll Do

● Design and build end-to-end LLM-powered applications and agentic workflows. ● Develop retrieval pipelines, RAG systems, context management, and knowledge

architectures. ● 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.

What You'll Have

● 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.

What's In It For You?

● 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.

Interested in learning more? Contact Revive Recruitment for a confidential discussion.

 

 

  • AI / LLM Engineer
    • The Opportunity
    • What You'll Do
    • What You'll Have
      • Nice to Have
    • Who We're Looking For
    • What's In It For You?

Skills

PythonTypeScriptReactFastAPIMachine LearningNLP

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