Senior Fullstack Engineer (up to £140k)

Dex

Greater London

On-site

GBP 90,000 - 140,000

Full time

6 hours ago
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Job summary

Dex is partnering with a trusted client to recruit a Senior Fullstack Engineer. You will own core product surfaces end-to-end, from architecture to production, and build workflows on internal AI infrastructure that integrate with the tools finance teams rely on.

You will work with Python (FastAPI), TypeScript, React, and PostgreSQL, delivering user-facing experiences tightly coupled to our AI backbone. This role emphasizes craft, performance, and a keen interest in enterprise finance workflows.

Qualifications

  • 4+ years building and shipping production software at a venture-backed startup or top-tier tech company.
  • Strong fullstack fluency across Python (FastAPI), TypeScript, React, and PostgreSQL.
  • Experience building user-facing products tightly coupled to LLMs and autonomous agents.
  • An appetite for deep problem domains and a high bar for craft when building for demanding finance professionals.

Responsibilities

  • Own core product surfaces across the entire stack using Python, FastAPI, TypeScript, React, and Postgres, from architecture to post-launch telemetry.
  • Build complex user workflows directly on top of internal AI infrastructure, including streaming agent execution, end-to-end citations, and resumable code environments.
  • Design interfaces and authoring experiences that integrate deeply into the daily tools investment teams live in, such as spreadsheets, presentations, and email.
  • Uphold code quality, system performance, and architectural decisions that help a fast-moving engineering team sustain high shipping velocity.

Skills

Fullstack development
LLMs and autonomous agents
Finance domain familiarity
Production software delivery

Tools

Python
FastAPI
TypeScript
React
PostgreSQL

Job description

This role is with one of Dex's trusted partner companies. We work closely with their teams to truly understand their culture, goals, and what they're looking for, so we can match you with the right opportunity and give you context about the role before you commit to a process.

The role

Private equity deal teams manage billions of dollars using fragmented knowledge bases and manual workflows across Word, Excel, and PowerPoint. This team built a dedicated agentic AI platform that automates sourcing, diligence, and document authoring for multi-billion-dollar buyout and private credit funds. Backed by leading enterprise investors and scaling ARR more than 10x over the past year, they have achieved rare product-market fit in a notoriously hard-to-penetrate enterprise market. You will join as a Senior Fullstack Engineer owning major product surfaces end-to-end, taking ideas from whiteboards to production and measuring real user impact. This is not about skinning third-party API wrappers with generic frontends. You will build user experiences tightly coupled to custom underlying infrastructure, including an in-house streaming agent harness, a resumable code execution framework, and multimodal document search engines.

The work
  • Own core product surfaces across the entire stack using Python, FastAPI, TypeScript, React, and Postgres, from architecture to post-launch telemetry.
  • Build complex user workflows directly on top of internal AI infrastructure, including streaming agent execution, end-to-end citations, and resumable code environments.
  • Design interfaces and authoring experiences that integrate deeply into the daily tools investment teams live in, such as spreadsheets, presentations, and email.
  • Uphold code quality, system performance, and architectural decisions that help a fast-moving engineering team sustain high shipping velocity.
What You Bring
  • 4+ years building and shipping production software at a venture-backed startup or top-tier tech company, with demonstrated ownership of features from ideation to production.
  • Strong fullstack fluency across Python (FastAPI), TypeScript, React, and PostgreSQL.
  • Experience building user-facing products tightly coupled to LLMs and autonomous agents, rather than just consuming basic completion endpoints.
  • An appetite for deep problem domains and a high bar for craft when building for demanding finance professionals.
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