Job Description

Honeycomb

At Honeycomb, we're not just building technology, we’re reshaping the future of insurance.

In 2025, Honeycomb was recognized by Dun & Bradstreet as “ Top 10 Best Start Up Companies to Work For” in Israel and named by LinkedIn as “ Top 10 Startups in Chicago”.

How did we earn these honors?

Honeycomb is a rapidly growing global startup, generously backed by top-tier investors and powered by an exceptional team of thinkers, builders, and problem-solvers. Dual-headquartered in Chicago and Tel Aviv (R&D center), and with 5 offices across the U.S., we are reinventing the commercial real estate insurance industry, an industry long overdue for disruption. Just as importantly, we ensure every employee feels deeply connected to our mission and one another.

With over $55B in insured assets, Honeycomb operates across 20+ major states, covering 60% of the U.S. population and increasing its coverage.

If you’re looking for a place where innovation is celebrated, culture actually means something, and smart people challenge you to be better every day - Honeycomb might be exactly what you’ve been looking for.

About The Role:

As a Senior GenAI Data Scientist, you will architect, develop, and deploy advanced GenAI systems that power mission-critical workflows across Honeycomb. You’ll work closely with engineering, product, and business leaders to build scalable agentic systems, robust RAG pipelines, and high-reliability LLM infrastructure—ultimately accelerating the company’s AI transformation.

This is a high-ownership role where your work directly influences our products, operations, and long-term AI strategy.

What You’ll Do:

• Design, develop, and ship advanced agentic workflows and GenAI applications end-to-end
  
  
• Build, optimize, and productionize RAG pipelines for grounding LLMs in insurance-specific data
  
  
• Integrate LLM agents with APIs, policy/claims systems, and internal business tools
  
  
• Own technical solutions for LLM evaluation, observability, versioning, safety, and error handling

Requirements

• Master’s degree or PhD in Computer Science, Machine Learning, Statistics, Engineering, or a related field
  
  
• 6+ years total experience in AI/ML or Data Science
  
  
• 3+ years hands-on building and deploying GenAI applications (LLMs, agents, RAG, etc.)
  
  
• Strong hands-on experience with LLM agents, including multi-agent orchestration, tool use, planning/reasoning, and context-managed conversational systems (e.g., LangGraph, HF Transformers Agents, OpenAI Agents)
  
  
• Deep expertise in Retrieval-Augmented Generation, vector databases, embedding model selection, and retrieval optimization
  
  
• Proficiency in Python and ML frameworks such as PyTorch, TensorFlow, scikit-learn, or Hugging Face
  
  
• Strong NLP and transformer-model knowledge with a track record of applying LLMs to real-world use cases
  
  
• Strategic, product-oriented mindset with the ability to map AI capabilities to business opportunities
  
  
• Highly self-driven, curious, and comfortable solving complex problems independently
  
  
• Familiarity with modern tuning and optimization techniques (PEDFT, LoRA/QLoRA, PPO, GRPO, etc.)

• Experience in regulated domains (insurance, finance), knowledge graphs, or agent observability - an advantage
  

Why Honeycomb

• Build foundational AI systems in a sector ripe for innovation and modernization
  
  
• See your work deployed quickly with immediate customer and business impact
  
  
• Collaborate directly with product, engineering, and executive teams— minimal bureaucracy
  
  
• High autonomy, fast development cycles, and meaningful equity ownership
  
  
• Be part of a mission-driven company redefining what insurance technology can be