Founding Software Engineer (Insurtech - £100-£150k + stock)

Talantir

Greater London

Remote

GBP 100,000 - 150,000

Full time

14 days+

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Job summary

Talantir in the United Kingdom is seeking a Founding Software Engineer to help build an insurtech AI platform. The role emphasizes shaping architecture, delivering end-to-end AI features, and enabling real-time underwriting decisions. Remote first, ownership, and fast feedback define the team culture.

Stack includes TypeScript with Next.js, Python and cloud platforms. The ideal candidate has 5+ years of product-focused engineering and a proven ability to take ideas to production while

Qualifications

  • Five+ years of engineering experience in product-focused environments.
  • Track record delivering features from idea to production.
  • Experience building with LLMs including RAG, semantic search and vector stores.

Responsibilities

  • Build agentic workflows that extract, reason and generate underwriting insights.
  • Design and ship LLM powered features end to end.
  • Build and optimise retrieval pipelines, search indices and evaluation frameworks.
  • Develop interfaces, APIs and infrastructure for AI driven underwriting products.
  • Work closely with the founding team and with users to identify pain points and deliver real value fast.

Skills

LLMs
System design
Ownership
Fast iteration
Problem solving

Tools

TypeScript
Next.js
Python
React
Node.js
AWS
Supabase
Semantic search
Vector stores

Job description

Founding Software Engineer (Insurtech - £100-£150k + stock)

Role: Founding Full Stack Engineer
Salary: £100-£150k + stock
Location: Remote

A well backed early stage insurtech is building the AI platform that will redefine how underwriting decisions are made across a global multi trillion dollar market. Insurance is one of the largest and slowest moving industries on earth. Its core workflows still rely on manual judgement, scattered information and legacy systems. We are rebuilding everything from the ground up with intelligent agents, advanced LLM systems and real time data pipelines.

Every line of code you ship will support live customers making high stakes decisions in real time.The team combines deep insurance and underwriting expertise with engineers who have built production grade AI in fast moving product companies. We recently secured a multi million pound investment from respected European funds and already have enterprise insurers using our platform in production. Momentum is real. The appetite for transformation is massive. And we are becoming the operating system for modern underwriting.

We are now expanding our founding engineering team across full stack and AI. The stack includes TypeScript with Next.js, Python, AWS, Supabase and modern tooling across retrieval and evaluation.

What we are looking for

You are a high agency engineer who wants to apply cutting edge AI to some of the most complex problems in the industry. You track the latest LLM advancements, think in systems and enjoy taking ideas from zero to production. You want ownership, pace, clarity and direct customer feedback.

In this role you will

Build agentic workflows that extract, reason and generate high quality underwriting insightsDesign and ship LLM powered features end to endBuild and optimise retrieval pipelines, search indices and evaluation frameworksDevelop interfaces, APIs and infrastructure for AI driven underwriting productsWork closely with the founding team and with users to identify pain points and deliver real value fast

Your background

Five plus years of engineering experience in product focused environmentsA track record of taking features or products from idea to launchExperience building with LLMs including RAG, semantic search and vector storesHands on with TypeScript, React, Node and PythonComfortable deploying to AWS, GCP or AzureCurious, fast, accountable and motivated by ownership

This is a rare chance to join a small founding team, shape the core architecture of a category defining AI platform and drive change in one of the world’s most important and least disrupted industries.

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