Start Date
Immediate
Expiry Date
22 Dec, 26
Salary
1500000.0
Posted On
23 Sep, 26
Experience
1 year(s) or above
Remote Job
Yes
Telecommute
Yes
Sponsor Visa
No
Skills
Industry
Infrastructure & Civil Construction
We're recruiting an Applied AI Engineer for a seed-stage start-up building AI for autonomous industrial operations.
The company is backed by some of the world's top VCs and the founder has 10+ years in industrial AI. They're opening a Munich office and need founding engineers to integrate the software on the ground with customers. You'd be one of the first hires in Munich, so there's real scope for growth and progression as the team builds out.
As an Applied AI Engineer you'll own the customer problem end to end: understand it, shape the solution, and integrate with their data and systems. There'll be regular travel and you'll spend a good amount of time on site.
We're looking for an early-career engineer (0–5 years) who has shipped AI or ML into production and is comfortable in front of customers. Strong Python and ML systems experience is essential.
You'd be joining a small team with no layers and direct access to the founders - a rare chance to get in early at a company solving real, physical problems.
Generous package on offer - base, bonus and equity.
Based in Munich (on-site/hybrid, with regular travel). You'll need to be eligible to work in Germany - EU citizenship or Blue Card holders only, please.
How To Apply:
Incase you would like to apply to this job directly from the source, please click here
· Generative AI and LLM Engineering: LLM Application Development, Retrieval Augmented Generation (RAG), Prompt Engineering, LangChain, LangGraph, AI Agents, Multi Agent Systems, Model Context Protocol (MCP), Hugging Face Transformers, OpenAI GPT, Anthropic Claude, Google Gemini, Meta Llama, Groq
· Vector Search and Data Engineering: ChromaDB, FAISS, Pinecone, Sentence Transformers, Semantic Search, Python, SQL, PostgreSQL, Pydantic
· Machine Learning and Deployment: Deep Learning, TensorFlow, PyTorch, Natural Language Processing, Computer Vision, FastAPI, SQLAlchemy, Alembic, Docker, Docker Compose, MLOps, Microsoft Azure, CI/CD
· Analytics, Tools and Methods: Tableau, Power BI (DAX), Git, GitHub, JWT Authentication, REST API Design, Agile Delivery