AI Engineer

We believe AI will totally change how E&S products are designed and sold. We’re building Novella to be the E&S distributor of the future, one that uses AI for everything and wants to look more like an exchange than a traditional insurance brokerage.

Insurance brokers are our customers and we wake up every day thinking about how we can make their lives easier. Their customers rely on us to find the best coverage for them; we don’t deliver a quote before we’re confident it’s right for the customer. We love insurance but we’re equally excited about reinventing a hundred-year-old function using the newest technologies in the world.

We’re a small team split between NYC and Israel. We’re backed by top tier VCs as well as industry leading angel investors who are excited to help us build an incredible company.

We are working near Sarona, Tel Aviv, spending at least 3 days a week in the office.

About the role

We're looking for an AI Engineer to join our team. As a senior member of our team, you'll play a crucial role in developing Agentic and LLM-based features, and helping other team members utilize AI technology in a growing startup. The expectation is that you’ll be a primary AI evangelist internally, pushing our teams to use new AI tools in all facets of their work – internal and customer facing.

The day to day

• Lead the development of autonomous agents and LLM-based applications, covering the entire development lifecycle from initial design through production deployment and optimization.
• Design and develop comprehensive evaluation frameworks, including datasets and benchmarks, to ensure our LLM applications meet quality standards and perform reliably over time.
• Provide mentorship to team members, sharing your expertise in LLM development and helping build a strong AI first technical culture

What we're looking for

• Proven track record as a software engineer with 3+ years of experience developing production systems.
• Deep understanding of LLM application development, including practical experience with:
  • Retrieval-Augmented Generation (RAG)
  • Embedding techniques and vector databases
  • Chain-of-Thought (CoT) prompting
  • LLM evaluation and monitoring systems
  • AI agent architectures and frameworks
• Strong background in dataset development and benchmark creation for LLM applications.
• Experience taking ownership of projects from conception to completion, with strong initiative and iterative development skills.
• Ability/Desire to work with TypeScript

The ideal candidate also has

• Hybrid skill set combining data driven mindset with engineering capabilities.
• Track record of successfully deploying and maintaining ML/LLM systems in production environments.
• Experience with performance optimization and scaling of LLM applications.
• Experience working on AI agents.