Senior Backend Engineer

Private-Markets Data & Intelligence Platform • London or Remote (UK/Europe)

Location

London, UK (Hybrid) or Remote — UK & Europe, excluding France and the Nordics

Compensation

£100k–£160k base + bonus + ESOP

About the company

Our client is a real-time data and intelligence platform for private markets, serving 300+ VC, PE, corporate innovation, fund analyst, and M&A customers. The product combines live company data with AI-driven analysis so investment teams can source, evaluate, and win private-market deals. Around 30 people today, $10M raised, headquartered in London.

The role

You'll build the production infrastructure powering the platform's agentic AI capabilities — a Python and FastAPI-heavy role spanning APIs, AI orchestration, databases, embeddings and vector search. The engineering team is small and scaling fast, so this is as much about setting the technical bar as it is about shipping.

What you'll do

Build and ship production-grade backend services and APIs in Python and FastAPI that power the AI features
Develop the infrastructure and orchestration layer behind the product's agentic AI capabilities
Work closely with Postgres and ClickHouse to enable intelligent data retrieval and AI-driven analysis
Mentor teammates and set engineering practices as the team scales from ~7 to 30+ people

What we're looking for

These are hard requirements. Check each one that applies to you.

5–15 years of backend engineering experience
Killer Python in production environments
Deep experience building and deploying APIs at scale
FastAPI experience, or strong adjacent production API experience
Strong database experience, especially SQL and Postgres
Genuinely excited about using AI in day-to-day engineering work
Able to work in-office in London 5 days/week, OR remotely from the UK or Europe excluding France and the Nordics
Startup operating style — autonomous, high agency, bias for action in a small fast-moving team

Please note: every item above is a hard requirement for this role. Applications that don't meet all of them will be rejected. We recommend applying only if you check every box.

Don't check every box? No worries — submit your info here and we'll keep you in mind for roles that could be a better fit.

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Nice to have

Experience building agentic AI infrastructure or orchestration layers
LLM product experience with OpenAI, Anthropic, embeddings, or vector databases
ClickHouse experience
Private markets, data/intelligence, VC, PE, or financial-services domain exposure
Regular use of AI coding tools such as Cursor or Claude
Mentorship or senior IC experience helping an engineering team scale

Tech stack

Python and FastAPI on the backend; PostgreSQL and ClickHouse for data; LLMs (OpenAI, Anthropic), embeddings and vector databases for the AI layer.

Compensation & logistics

£100k–£160k base + £30k–£40k+ annual performance bonus
ESOP after 6–9 months
London-based candidates: in-office 5 days/week. Non-London candidates: remote across the UK and Europe, excluding France and the Nordics
Open to visa transfers and new visa sponsorships

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