Fullstack AI Engineer

About Company

Our Client is a London-based FinTech startup building Agentic intelligence for financial services

operations. We automate the end-to-end Date operations lifecycle — from data ingestion,

transformation and intelligent matching to break detection and resolution — replacing manual

spreadsheet workflows that cost the industry billions annually.

You will be among the first engineers, working directly with the technical founder who built the

entire platform to production.

The Role

You will work across the full stack of a production SaaS platform — backend APIs, frontend UI,

data pipelines, and AI-powered features — to build, extend, and ship product capabilities to

financial institution clients. This is a high-ownership role where you will design and implement

features end-to-end, not just pick up tickets.

What You'll Work On

• Backend Development — Build and extend Django REST APIs, design data models,

and implement business logic for reconciliation workflows (ETL pipelines, matching

engines, break management)

• Frontend Development — Develop rich, responsive UI features using React/Next.js

with TypeScript — data tables, configuration editors, dashboards, and real-time status

views

• AI/LLM Integration — Build and improve AI-powered features including intelligent

document extraction, AI-assisted matching rules, conversational configuration agents,

and automated break analysis

• Data Processing — Work with high-performance data processing pipelines using

Polars/Pandas for financial data transformation/reconciliation at scale.

• Asynchronous Workflows — Design and implement distributed task workflows using

Celery for ETL orchestration, matching execution, and report generation

• Testing & Quality — Write comprehensive tests (pytest, Vitest, Playwright) and maintain

high code quality in a fast-moving codebase

• Production Support — Debug and resolve production issues alongside the founder;

understand the full request lifecycle from browser to database

What We're Looking For

Must Have

• 5+ years of professional software engineering experience
• Strong proficiency in Python (Django AND FastAPI), with experience building production

REST APIs

• Solid JavaScript/TypeScript skills with experience in React (Next.js preferred)
• Experience with relational databases (PostgreSQL preferred) — schema design, query

optimisation, migrations

• Familiarity with Git workflows, code review, and CI/CD practices
• Ability to learn new domains quickly — you don't need FinTech experience, but you

need the curiosity to understand reconciliation workflows deeply

• Strong problem-solving skills and comfort working independently in a startup

environment

Great to Have

• Experience with LLM/AI integration in production applications (prompt engineering, API

orchestration, LangChain/LangGraph)

• Experience with data processing at scale (Polars, Pandas, Apache Arrow)
• Knowledge of asynchronous task queues (Celery, Redis)
• Familiarity with AWS services (ECS, S3, RDS, CloudWatch)
• Experience with Docker and containerised development/deployment
• Exposure to FinTech, capital markets, or financial operations (reconciliation,

settlements, NAV, cash management)

• Experience with document parsing/extraction (PDF, Excel, SWIFT messages)
• Familiarity with component libraries (Radix UI, shadcn/ui, TailwindCSS)

Why Join our Client Company

• Founding team member — Shape the engineering culture and technical direction from

day one

• High ownership — You will own entire features end-to-end, from database schema to

pixel-perfect UI. Your code ships to production the same week

• Work with cutting-edge AI — Production LLM workloads, agentic AI, and intelligent

document extraction — not just buzzwords on a slide deck

• Direct founder access — Work alongside the technical founder who built the platform;

no layers of middle management

• Real impact — Financial institutions are running their daily operations on what you

build. Your work matters on day one

• Growth trajectory — Early hires at funded startups define their own career paths as the

company scales

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