HartleyCo26.01.26
AI SCORE 8.5

Founding AI Engineer - InsurTech Startup

$90K–$165K/year

About the Role

We're seeking a Founding AI Engineer to join our innovative InsurTech startup, HartleyCo. This role offers a unique opportunity to work remotely while contributing to a rapidly growing company that has achieved multi-million ARR in just one year. As a Founding AI Engineer, you will play a critical role in shaping the future of our AI-driven insurance solutions.

What You'll Do

  • Develop AI agents and LLM-powered workflows that efficiently process real insurance claims.
  • Collaborate directly with founders and insurance specialists to tackle complex automation challenges.
  • Take ownership of AI architecture and make key technical decisions.
  • Contribute to building a strong AI/ML engineering culture from the ground up.
  • Create systems that have a direct impact on major enterprise customers.

Requirements

  • Proven experience as an AI Engineer with a focus on building AI agents and workflows.
  • Full-stack capabilities, comfortable working with Python for backend and frontend tasks.
  • Experience at Series B/C/D AI companies or early career experience at big tech firms.
  • A passion for high-intensity, fast-paced environments.
  • A builder's mindset, eager for ownership rather than just completing tasks.

Nice to Have

  • Experience with Python, LLMs, LangChain, Next.js, Node.js, and GCP.
  • Previous involvement in production AI systems at scale.

What We Offer

  • Competitive salary range of £90,000 - £165,000 plus meaningful equity.
  • Direct influence on product development and company direction.
  • Work alongside experienced founders backed by Y Combinator.
  • Visa sponsorship available for eligible candidates.
  • 30 remote workdays per year, allowing for flexibility and work-life balance.
Why This Job8.5 of 10

Join HartleyCo as a Founding AI Engineer and be part of a pioneering InsurTech startup. Enjoy a competitive salary, equity, and the chance to shape the future of insurance technology.

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About HartleyCo

Explore HartleyCo careers in 2026 and discover exciting job openings across remote, hybrid, and office roles. Our platform offers advanced filters to streamline your job search, application tracking to keep you organized, and valuable company insights to help you make informed decisions. Find your perfect career opportunity at HartleyCo today, and take the next step towards a rewarding future.

Industry
Tech
Location
Remote

Who Will Succeed Here

Proficient in Python with a strong understanding of LLMs and their integration using LangChain, showcasing a hands-on capability to build AI-driven solutions in a fast-paced startup environment.

Self-motivated and comfortable working in a fully remote setting, demonstrating the ability to manage time effectively, set personal deadlines, and proactively communicate with team members across different time zones.

Experience in deploying applications on Google Cloud Platform (GCP) and familiarity with Next.js and Node.js, reflecting a growth mindset focused on leveraging modern technologies to drive innovative insurance solutions.

Learning Resources

Python for Data Science Handbookguide

Career Path

Founding AI Engineer(Now)AI Engineering Lead(1-2 years)Chief AI Officer(3-5 years)

Market Overview

Python Market Size 2024
$15.7B
Annual Growth
11.2%
AI Adoption in InsurTech
65%
Investment in AI InsurTech
+30%
Labour Demand for AI Engineers
+25%
Avg Salary for AI Engineers
$120K

Skills & Requirements

Required
PythonLLMsLangChain
Growing in Demand
TensorFlowPyTorchCloud Architecture
Declining
PerlPHP

Domain Trends

Rise of LLMs in Insurance
Large Language Models are increasingly used for underwriting and claims processing, with a projected increase in adoption by 70% in 2025.
Integration of AI with IoT
The use of AI combined with IoT devices in insurance is expected to grow by 40%, enhancing risk assessment capabilities.
Shift to Cloud-Based Solutions
InsurTech companies are moving to cloud platforms like GCP, with 55% of firms planning to transition by the end of 2025 for better scalability and data handling.

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