Senior Fullstack Engineer

Posted Yesterday
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London, Greater London, England, GBR
In-Office
Senior level
Artificial Intelligence • Fintech • Software • Analytics
The Role
Build and operate end-to-end product features across the full stack, from design and architecture to production. Ship high-impact software, maintain code quality, work with LLMs/agents and search/OCR pipelines, and collaborate in a fast-paced, startup engineering team.
Summary Generated by Built In

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

Own product features and take them from ideation to production and measure the impact. Work across all layers of the application to deliver value for our customers. Uphold the quality of our codebase and find ways to move faster.

The opportunity

  • Ownership: You'll own whole surfaces of the product end to end. You'll make the architecture calls, ship them, and operate them.

  • Growth: You'll work across the entire stack, alongside a team of startup veterans, and take on real responsibility.

  • Upside: You'll receive meaningful equity in a company that grew 15x last year.

  • Impact: You'll leave an indelible mark on an industry responsible for ~7% of US GDP.

Recent projects include

  • Agent Harness: Our own agent harness built on a custom, streaming-first graph execution framework.

  • Code Execution Framework: Our own code execution framework that can be interrupted and resumed mid-execution for programmatic tool calling.

  • Document Ingestion, Indexing, and Search: A VLM-based OCR pipeline, a self-hosted search cluster, and domain-aware search strategies.

  • Citations: An end-to-end approach to citation, enabling users to quickly review supporting documentation for any AI generated statement.

  • Document Authoring: Agent tooling and a document editor supporting advanced collaborative authoring across Word, Excel, PowerPoint, and email.

Your track record

  • You’ve worked in a high performance environment. Four or more years building production software at a venture-backed startup or top tech firm, owning features end-to-end.

  • You've shipped things that mattered. Entire products or features taken from ideation to production, with impact you can speak to.

  • Expertise with our stack. Python, TypeScript, React, FastAPI, Postgres, OpenSearch, RabbitMQ, Kafka, LLMs, Agents.

  • Domain curiosity. You go deep on the problem. You care about what the product does for the person using it, and that shows in how you build.

  • Comfortable at pace. Fast-moving environments are where you do your best work.

How you operate

  • Accountable: You take responsibility for what you build and make sure it has a positive impact on our customers and the team.

  • Thoughtful: You think deeply about the problems you're solving and the code you're submitting. You use AI to enhance your thinking, not to outsource it.

  • Pragmatic: You accept that time is limited and information is incomplete. You make progress regardless, and adjust as we learn more.

If this opportunity excites you

We'd like to meet you. Initial conversations are direct and substantive, going deep on the work, the team, and what you'd own in the first six months.

Capsa AI provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity, or gender expression. We are committed to a diverse and inclusive workforce and welcome people from all backgrounds, experiences, perspectives, and abilities.

Capsa AI is committed to a fair and transparent hiring process. We confirm that this advertisement is for an active, existing vacancy within our organization. Please be advised that we may use artificial intelligence-driven tools to assist our recruitment team in screening, assessing, and selecting candidates for this position.

Skills Required

  • 4+ years building production software at a venture-backed startup or top tech firm, owning features end-to-end
  • Proven track record shipping products or features from ideation to production with measurable impact
  • Expertise with stack: Python, TypeScript, React, FastAPI, Postgres, OpenSearch, RabbitMQ, Kafka
  • Experience working with LLMs and agent-based systems
  • Experience with document ingestion, OCR/VLM pipelines, search/indexing, or similar data ingestion/search systems
  • Ability to own product surfaces end-to-end, make architecture decisions, ship, and operate services in production
  • Comfortable working at pace in fast-moving environments and iterating quickly
  • Domain curiosity and user-focused product thinking
Am I A Good Fit?
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The Company
500 Employees
Year Founded: 1958

What We Do

Capsa AI is the AI Operating System for private capital, developing cutting-edge, agentic systems that enable investors to conduct faster and deeper analyses. Its platform reasons across public web data, third-party sources, and private fund data, delivering a quality of analysis beyond generalist platforms. Capsa aims for a future where investors encode their strategy and the system autonomously executes sourcing and market monitoring.

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