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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 the systems behind an AI platform that the world's leading PE firms run their investment processes on. You'll design and build the backend that makes it all work: agentic workflows, document ingestion and search at scale, streaming execution, and the APIs and data models that power the product. You'll take features from ideation to production, measure their impact, and own them in operation.
The opportunity
Ownership: You'll own whole systems 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.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
See breakdownIt searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
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.
Track record
You’ve worked in a high performance environment. Five or more years building production backend systems at a venture-backed startup or top tech firm, owning services and systems end-to-end. You've shipped things that mattered. Distributed systems, data pipelines, or platform services taken from design to production at scale, with impact you can speak to. Expertise with our stack. Python, 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.


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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.
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Jessica, London
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