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Senior Backend Engineer

Job in Greater London, London, Greater London, W1B, England, UK
Listing for: Capsa AI
Full Time position
Listed on 2026-06-08
Job specializations:
  • Software Development
    Backend Developer, Cloud Engineer - Software, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 80000 - 100000 GBP Yearly GBP 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Location: Greater London

The AI Operating System for Private Capital.

Capsa AI

Private capital funds have to find potential investments, research and analyse them thoroughly, monitor them over time, drive improvements, and decide when to buy and sell. They've got to see through the marketing. They've got to outbid the competition. And they've got to learn from every deal they do. Historically, these processes have run on people, we are building the AI Operating System that will run them in the future.

We're focused, ambitious, and obsessed with building a category-defining company. In the last 12 months we've grown ARR 15x, achieved product–market fit with leading multi-billion-dollar PE firms, and expanded across the US, UK, and Europe. Now we're doubling down: we've raised a large Series A from top-tier VC investors to scale the team. We're hiring hyper-talented people who want to work at the forefront of AI and revolutionise an industry.

At

a glance
  • Role:
    Senior Fullstack Engineer
  • Location:

    London, UK (Hybrid, in-person 4 days per week)
  • Team:
    Engineering
  • Compensation:
    Top of market. Competitive base + OTE
The role

Take what you already know about building reliable systems, or about infrastructure that has to work at scale, into a category-defining company. A fast track to owning the backend that powers decisions at the world's leading PE firms.

You'll build and own the services, pipelines, and infrastructure that sit underneath our AI platform - the systems that ingest documents, process financial data, and make everything downstream possible. Whether you've built high-throughput data pipelines, designed distributed systems that don't fall over, or shipped backend services used by demanding professional users, you bring rigour most engineers don't have, and the job is to point that rigour at problems the industry has never had good tooling for.

This isn't a place to keep the lights on. We hire engineers who want to build the foundation, not inherit it. Scope grows fast, ownership is real from day one, and the founding team is close enough that the decisions you make now will shape the architecture for years.

The opportunity
  • Build the infrastructure the platform runs on. Design and ship the services, APIs, and systems that underpin everything our AI does, reliable, performant, built to scale.
  • Own the data pipelines. Ingest, process, and index large volumes of documents and financial data. The quality of the agent's outputs starts here.
  • Expand what the agent can see. Integrate new data sources into the loop and increase the depth and breadth of analysis our customers can perform.
  • Support the AI layer. Work closely with the AI team to design and implement backend capabilities that give our agent genuine investment expertise.
  • Keep the codebase clean. Uphold rigorous standards across everything you ship. Tech debt is a tax on velocity, and you don't let it accumulate.
Recent projects include
  • Agentic assistant with a finance-focused toolkit and advanced document authoring features
  • Scalable document ingestion and indexing pipeline
  • In-house, streaming-first agent framework
  • AI-assisted document editor
Track record
  • Backend depth, not just breadth. Four or more years building production software at a venture-backed startup or top tech firm, owning services and systems end-to-end, not just contributing to them.
  • You've shipped things that mattered. Entire features or products taken from ideation to production, with impact you can speak to. If you can't point to what changed because of your work, that's a flag.
  • The right technical toolkit. Strong Python, hands-on experience with FastAPI, Postgres, Elastic Search, Rabbit

    MQ, Redis, message queues, and distributed systems, or close enough that the gaps close fast.
  • Domain curiosity, not just technical ability. You go deep on the problem, not just the implementation. You care about what the system does for the person depending on it, and that shows in how you build.
  • Comfortable t-moving environments are where you do your best work, not something you tolerate.
How you operate
  • Low ego, high ownership. You want to be part of building something that matters more than you want a title that says so.
  • Hungry and…
Position Requirements
10+ Years work experience
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