Senior AI Engineer

Note: We've kept the name of the company private. If you'd like to know the company before requesting an intro, just email us at hello [at] fractionaljobs.io
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About Us

We're a growing insurtech startup that's modernizing the way insurance is sold and serviced through technology. Our core platform handles all insurance operations, and we're launching a new R&D initiative to explore AI-driven insurance solutions, leveraging our existing APIs and infrastructure.

We are a profitable company with over 150 employees, backed by a major European insurer, and operate primarily in Germany, Austria, and the Netherlands.

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About the Work

We're looking for a Senior Fractional or Interim AI Engineer who can level-up our approach to AI and help us ship our MVP.

Specifically, you'll:

• Design and ship an AI assistant that sells, services, and handles claims
  
  • Start with a chat-led quote → pay → issue flow, then automate common policy changes, then claims intake → decisioning
• Make technical decisions on your own, you'll have full ownership of technical execution
• Work across the full stack, though with an emphasis on the AI system
• Work with two other full-stack engineers and a PM

Tech stack:

• React / Node (Typescript)
• Python
• AI/ML: Deep learning frameworks (PyTorch preferred, TensorFlow/JAX a plus)
• NLP & LLMs (Hugging Face Transformers, LangChain, OpenAI/Anthropic APIs, RAG pipelines)
• Databases: SQL (Postgres) and Vector DBs (Pinecone, Weaviate, FAISS, or similar)

We're looking for someone for a 3+ month engagement, for 20 - 40 hrs / week. We can extend based on our progress and mutual fit.

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About You

You MUST have:

• Comfortable designing scalable, production-grade AI systems with APIs
• AI expertise beyond prompt engineering
  
  • You can deploy models
  • Comfortable with fine-tuning
  • Know how to deal with large context windows
  • Have built evals and set up tracing/observability
  • Understand what it looks like to use LLMs in production
• A full-stack background (React + Node at a minimum)
• Based in time zones +/- 6 hrs from CET
  
  • Europe, East Coast USA, etc.

Nice-to-haves:

• Payment processing experience
• German language proficiency
• Insurtech / fintech experience
• Pandas, NumPy, and familiarity with large-scale data (Spark/Ray)
• Model serving (TorchServe, Triton, BentoML)
• Workflow orchestration (Airflow, Prefect, Kubeflow)