Overview

Location: London (Hybrid - 2-3 days/week in-office)

Compensation: Competitive salary + meaningful equity

Visa sponsorship: Not available

A fast-growing AI startup is on a mission to reinvent how companies manage their finances building AI tools that finance teams can actually trust, control, and use at scale.

Why This Role Is Special

• Real Ownership: As a founding engineer, you'll lead the design and development of production AI systems - shaping architecture, tooling, and user experience.

• Built on Solid Foundations: The platform already integrates with major accounting systems and serves thousands of users. You'll be building on something proven - not starting from scratch.

• Meaningful Impact: Your work won't be an internal experiment. It'll directly affect how real businesses understand and manage their finances.

• AI With Purpose: This isn't about flashy demos - it's about building intelligent tools that are safe, explainable, and reliable in production.

What You'll Be Doing

• Design & Build Production AI Systems: Architect scalable LLM-based features and infrastructure that power intelligent agents and copilots for finance teams.

• Measure What Matters: Build robust evaluation systems using curated test sets, automated checks, and CI-integrated safeguards.

• Safety & Compliance First: Implement schema validation, content filtering, authorisation controls, and circuit breakers to ensure user trust and regulatory safety.

• Optimise Retrieval-Augmented Generation (RAG): Improve document chunking, indexing, and search pipelines - with a focus on latency, precision, and cost-efficiency.

What You Bring

• A deep interest in building with AI and LLMs in real-world environments.

• A strong backend engineering foundation (4+ years), ideally with experience in TypeScript, Python, or Kotlin.

• Hands-on experience shipping LLM applications or AI agents, using tools like LangSmith, Promptfoo, TruLens, DeepEval, or Phoenix.

• Solid understanding of prompt engineering, function calling, structured outputs, and evaluation techniques.

• Experience with RAG systems, including embeddings, vector databases, and retrieval strategies.

• A strong product mindset, clear communication skills, and comfort with the pace and ambiguity of early-stage startups.

• Bonus: Experience working with sensitive business or financial data, especially with attention to security, observability, and compliance.

You\'ll Thrive If You…

• Are excited by autonomy, impact, and the chance to build a product from 0 to 1

• Want to work closely with founders and have a voice in company strategy

• Prefer thoughtful, production-grade AI over quick hacks and demos

• Care about transparency, safety, and trust in AI systems