Location: Tel Aviv, Israel (Hybrid)

About Flow Specialty

At Flow, AI isn't just a feature—it's the core of everything we do. We are transforming the wholesale insurance industry by building a futuristic insurance brokerage where AI powers every aspect of the experience. With advanced AI features already live in production and actively used by our brokers, we are pioneering Wholesale 3.0, equipping brokers with cutting-edge tools to provide unparalleled service.

We are creating an ecosystem of AI agents designed to streamline processes and enhance decision-making in the insurance landscape. The industry is heavily reliant on text—emails, files, and documents—making Generative AI a perfect fit for solving its challenges. Flow leverages AI to deliver meaningful insights, deep analysis, and white-glove support for every transaction, no matter the deal size. By combining human expertise with Platformless AI, we are bringing back the art of wholesale insurance while eliminating the need for outdated portals.

We’re a Series A startup with over $20M raised from top-tier investors like Lightspeed, MunichRe Ventures, and industry angels.

Position Overview

We’re seeking a talented AI Engineer to join our top notch R&D team. In this role, you will act as the focal point for our AI initiatives, working closely with Product and Engineering teams to design and implement AI solutions. You will lead AI efforts, collaborate on proofs of concept, and guide the integration of AI to address real-world business challenges.

Key Responsibilities

• Act as the AI focal point for Product and Engineering, leading AI/ML/DS initiatives.
• Understand user challenges and business needs to create impactful solutions.
• Work with SWE to design and develop POCs for AI solutions that drive business results.
• Provide expertise and guidance to the R&D team on AI architecture, tools, and best practices including Agentic AI, RAG, embeddings, documents ingestion, LLM models evaluation.
• Guide the Prompt Engineer on prompting techniques and best practices.

Requirements

• 3+ years as an AI/ML Engineer or similar role.
• 5+ years of NLP or unsupervised DS experience in production.
• 10+ years of engineering or research experience in industry or applied settings.
• Experience in evaluating and validating results from unstructured text data.
• Hands-on experience with LLMs in commercial settings (e.g., OpenAI, Anthropic).
• Able to be the domain focal point of LLM models and best practices.
• Proficiency in Python or TypeScript for developing and running POCs.
• Startup spirit and can-do attitude.
• Ability to work independently in a fast-paced, evolving environment.
• Great team player and superb interpersonal skills.
• Bonus: Experience working with text documents.
• Bonus: M.Sc / Ph.D. in Computer Science, Data Science, or related field.