Backend Engineer, AI-Powered Expense Platform

01A; Greater London; On-site; GBP 60,000 - 90,000; Full time

Benefits offered by this job

Healthcare coverage

Insurance offerings

Wellness resources

Retirement plan

Equity plan

Flexible time off

Parental leave

Commuting support

Mental health resources

Job summary

Navan, the AI-powered expense platform, is hiring for Expense Engineering in London and Berlin. You will build end-to-end expense flows, from entry and receipts to reimbursements and GL postings, with emphasis on accuracy, latency, and safety.

Join a team shipping in Java/Spring Boot on the backend and TypeScript/Python for AI services, improving extraction, itemization, and policy-driven automation across multi-entity setups in international spend and tax scenarios.

Qualifications

• 1–3 years of software engineering experience.
• Strong CS fundamentals and backend experience.
• Experience with APIs and relational databases.
• Exposure to AI tools or projects involving LLMs, chatbots, or document processing.
• Willing to relocate to London or Berlin.

Responsibilities

• Design and ship features in backend services (Java/Spring Boot) and/or web (TypeScript).
• Own APIs and data flows at scale, moving money, receipts, and policy decisions.
• Build or extend LLM-backed agents: tool use, grounding, streaming, memory, and evals.
• Improve document extraction and auto-itemization: latency, cost, and accuracy.
• Mentor others and write designs that teams across time zones can implement.

Skills

Java

Spring Boot

TypeScript

Python

Backend development

APIs

SQL

Cloud platforms

Tools

Kafka

PostgreSQL

Docker

Job description

Navan, the AI-powered expense platform, is hiring for Expense Engineering in London and Berlin. You will build end-to-end expense flows, from entry and receipts to reimbursements and GL postings, with emphasis on accuracy, latency, and safety.

Join a team shipping in Java/Spring Boot on the backend and TypeScript/Python for AI services, improving extraction, itemization, and policy-driven automation across multi-entity setups in international spend and tax scenarios.