Senior Backend Engineer

Product Pulse; Greater London; Hybrid; GBP 90,000 - 130,000; Full time

Benefits offered by this job

ESOP after 6–9 months

Job summary

Product Pulse seeks a Senior Backend Engineer to own production-grade Python services powering AI features. You will design APIs and work with PostgreSQL and ClickHouse to enable fast, reliable data-driven AI insights.

You'll ship end-to-end features within sprints, mentor teammates, and influence architecture with founders. Hybrid London/Europe remote option; English fluency required.

Qualifications

• 5–15 years backend engineering experience in production
• Built and owned APIs/services used by real customers
• Startup/scaleup experience (30–100 people)
• Hands-on shipping AI/LLM features to production
• Strong SQL with PostgreSQL or equivalent
• Hands-on coding remains preferred over management
• Based in Europe; London office option; hybrid work model

Responsibilities

• Build and ship production backend services and APIs in Python (FastAPI)
• Own orchestration layer for agentic AI: planning, tool calls, data retrieval
• Work with PostgreSQL and ClickHouse for fast data access
• Take features from idea to live production in a single sprint
• Mentor teammates and help set engineering standards
• Shape architecture and tooling through collaboration with founders

Skills

Python

API design

SQL

PostgreSQL

ClickHouse

AI features

Mentoring

Tools

FastAPI

Cursor

Claude

DevOps

CI/CD

Job description

Senior Backend Engineer — London or England remote

London, UK · Permanent · Hybrid

Join a team small enough that what you build is what exists, and take agentic AI features from a founder's idea to something hundreds of investment firms rely on to make real capital decisions.

What you'd actually work on

• Building and shipping production backend services and APIs in Python (FastAPI) that power the platform's AI features, used daily by professional investors
• Designing and owning the orchestration layer for agentic AI capabilities: how the system plans, calls tools, and retrieves the right data at the right time
• Working directly with PostgreSQL and ClickHouse to enable fast, reliable data retrieval for AI-driven analysis at real scale
• Taking a feature from a founder's rough idea to something live in production within the same sprint, without layers of process in between
• Mentoring teammates and helping set engineering standards as the team grows from around seven engineers today to over thirty
• Making real calls on architecture and tooling rather than inheriting decisions frozen in place years ago
• Working closely enough with the founders that your technical judgment shapes what gets built next, not just how it gets built

Where it gets technically interesting

• Agentic workflows and tool use sit on top of a data platform that has to stay fast and correct under real investor usage, not a demo
• Two different database workloads in the same system: PostgreSQL for transactional data, ClickHouse for the columnar, analytics-heavy queries behind the AI insights
• AI coding tools (Cursor, Claude) are part of the actual day-to-day workflow, not a side experiment
• A genuinely small engineering team means no one else is quietly maintaining the parts you don't touch
• Retrieval and embeddings work that has to hold up against messy, high-stakes private market data rather than clean public datasets

What we're looking for

• 5 to 15 years of backend engineering experience, most of it in Python, in production environments
• A track record of building and personally owning APIs or services used by real customers, not just maintaining systems someone else designed
• Time spent at a startup or scaleup (roughly 30 to 100 people), not exclusively large corporate environments
• Hands-on experience shipping AI or LLM features to production: agentic workflows, RAG, or tool use
• Strong SQL and solid experience with PostgreSQL or an equivalent relational database
• A genuine preference for staying hands-on and coding day to day rather than moving toward management
• Based in Europe (outside France and the Nordics); if based in London, comfortable working from the office five days a week
• Bonus: experience with columnar databases (ClickHouse, Redshift, Snowflake) or general DevOps/infrastructure skills

The company

An alternative data and private market intelligence platform, giving investors real-time data and AI-driven analysis to make faster, better-informed decisions. Used by hundreds of leading VC and PE firms across Europe and beyond. Small, fast-moving engineering team of around thirty people, still shaped day to day by its founders. Equity participation (ESOP) after six to nine months.

Languages: English (fluent, working language of the team)