Senior Software Engineer - AI-Native Accounting Platform

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AI Summary

We are seeking a Senior Software Engineer to lead the design and implementation of our AI-native accounting platform. The ideal candidate will have 8-15 years of experience in full-stack software engineering and a strong understanding of platform architecture, data infrastructure, and security. This is a full-time position based in London.

Key Highlights
Lead AI/ML engineering and data-driven development
Drive high-velocity product delivery
Establish platform reliability and security
Key Responsibilities
Lead the design and implementation of the core AI-native platform architecture
Drive a strong product-driven mindset
Translate complex AI prototypes into reliable, secure, and highly-available production services
Technical Skills Required
Python FastAPI Django AWS Cloud services Lambda SQS EKS Prometheus Grafana Datadog
Benefits & Perks
Up to £150k base salary
0.3% to 0.6% equity
Direct reporting line to Principal Engineer with CEO exposure

Job Description


Senior Software Engineer | AI-Native Accounting Platform | London


Backed by leading investors, with proven go-to-market traction and 1,000+ customers onboard, we are now scaling ‘Harvey/Legora’ for accountants.


What We Offer


  1. Up to £150k base salary
  2. 0.3% to 0.6% equity for a meaningful upside
  3. Direct reporting line to the Principal Engineer with the CEO exposure


What We Are Looking For


  1. 8-15 years in full stack software engineering experience in fast scaling start-up or product category leaders like Revolut
  2. Solid understanding of platform architecture, data infrastructure, security, and compliance environments
  3. Experience with data-driven and non-deterministic systems and a strong high-velocity product delivery mindset
  4. Experience with building AI-agent driven workflows at scale.


London-based, working from our Victoria office, visa sponsorship if required


What You Will Do


  1. AI/ML Engineering & Data-Driven Development: Lead the design and implementation of the core AI-native platform architecture using Python (FastAPI/Django) and AWS/Cloud services (Lambda, SQS, EKS). Treat dataset curation, benchmarking, and experiment design as first-class engineering problems, integrating model evaluation and manage non-deterministic systems.
  2. High-Velocity Product Delivery: Drive a strong product-driven mindset, prioritising rapid iteration, tight feedback loops, and measurable outcomes. Work directly with Product Managers and Data Scientists to define the technical roadmap, align engineering delivery with market needs, and maximise key business metrics.
  3. Deployment & Production Excellence: Translate complex AI prototypes into reliable, secure, and highly-available production services within a microservices architecture. Own the management of deployment and real-time inference.
  4. Platform Reliability and Security: Establish and maintain Service Level Objectives (SLOs), manage comprehensive observability (Prometheus/Grafana/Datadog), and ensure platform compliance with professional sector regulations (e.g., ISO guidelines) as the platform scales to millions of transactions.
  5. Engineering Leadership & Mentorship: Lead and mentor a team of 4-6 software engineers, fostering a culture of technical excellence, continuous integration/continuous delivery (CI/CD), and test-driven development (TDD).

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