AI/LLM Engineer

United States Digital Space LLC

München

Vor Ort

EUR 70.000 - 110.000

Vollzeit

14 Tage+

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Benefits dieser Stelle

Equity stake
Competitive salary
Sports membership
Free team meals

Zusammenfassung

United States Digital Space LLC in Munich is looking for AI developers to work on cutting-edge LLM systems impacting real-world sales processes. The role requires at least 2 years of relevant experience and proven skills in Data Science, TypeScript, and FastAPI. You will collaborate with a strong team on various AI projects.

The company offers a competitive salary ranging from €70k to €110k plus bonuses and other benefits, including sports memberships and a dynamic work culture.

Qualifikationen

  • Minimum 2 years of relevant experience.
  • Proven track record of architecting and building AI/LLM-powered systems in production.
  • Experience with designing systems for unstructured data processing.

Aufgaben

  • Design and build LLM-powered agentic systems end-to-end.
  • Develop evaluation and monitoring systems for AI performance.
  • Collaborate with engineers for product integration.

Kenntnisse

Data Science
TypeScript
FastAPI
Natural Language Processing (NLP)

Jobbeschreibung

Job Details
  • Location: Munich, Germany (Onsite)
  • Work Policy: 100 % on-site, 5 days per week (no remote)
  • Work Experience: Minimum 2 years relevant experience
  • Language Requirement: English C1
  • Employment Type: Full-time
  • Technical Skills Required: Data Science, TypeScript, FastAPI, Natural Language Processing (NLP)
  • Industry: AI software for sales process automation (construction/wholesale)
  • Positions Available: 2
Company Mission

Their AI helps the companies that build the real world move at software speed. They start with automating one of their biggest hidden bottlenecks: turning messy technical requests into accurate quotes.

Core Values
  • 1. Customer first: Their customers are at the heart of everything they do. Their success and trust are what drives them —and the standard by which they measure themselves.
  • 2. Aim high: They pursue ambitious goals with full accountability and perseverance—to achieve what others consider impossible.
  • 3. Win together: Together, they achieve more: through trust, honest challenge, and mutual support, they grow as a team and surpass their own limits.
  • 4. Enjoy the ride: Their culture encourages them to be authentic, stay curious—and enjoy the journey. Because that’s exactly when great work happens.
Tasks
  • Design and build LLM-powered agentic systems end-to-end
  • Build retrieval and context pipelines (RAG, hybrid search, structured retrieval)
  • Develop evaluation and monitoring systems for AI performance
  • Build scalable pipelines for unstructured data
  • Implement automated feedback pipelines for AI learning
  • Own architecture and reliability of AI systems
  • Collaborate with engineers for product integration
Requirements
  • Proven track record of architecting and building AI/LLM-powered systems in production
  • Experience with designing systems for unstructured data processing
  • Experience in developing evaluation and feedback loops for AI performance
  • High commitment to work and productivity in fast-paced settings
Benefits
  • Work on cutting-edge LLM and agentic systems with a direct impact on real-world sales processes. Exceptionally strong team (YC Top 5%, IPhO medal, MIT/Cambridge/Google) and experienced mentors
  • Early stage with proven product-market fit (€2M ARR to €10M target), equity stake, and rapid growth
  • High level of personal responsibility: individual feature ownership, close customer proximity, flat hierarchies
  • San-Francisco-style performance culture in Munich, rapid decision-making, joint offsite in SF
  • Competitive salary (€70k–€110k) plus bonus, equity, sports membership, and free team meals
Why Work With Them
  • Elite team pedigree
  • Strong product-market fit with €2 M+ ARR, equity upside
  • Cutting-edge LLM work
  • Chance to shape high-growth YC startup while working on-site with top talent in Munich
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