Senior Backend Engineer

present of AI; United Kingdom; Remote; GBP 65,000 - 90,000; Full time

Job summary

Cytora is seeking a hands-on backend engineer to turn insurance risk data into structured information. You will work in a small team, building production features with typed Python, REST APIs, and PostgreSQL, while running serverless code on AWS.

Experience with Docker, message queues, and email/notification services is valued. You will own features from prototype to support in a rapidly evolving AI-centric product.

Qualifications

• Typed Python with mypy
• REST API design with OpenAPI
• PostgreSQL queries and schema
• Serverless AWS Lambda projects
• Docker and message queues
• OCR/document extraction pipelines
• LLM integration (Gemini on Google Cloud)
• Ability to own a feature from prototype through to support

Responsibilities

• Build and ship features turning insurance risk information into structured data.
• Own a feature from prototype through to support.
• Create and maintain REST APIs and data models using PostgreSQL.
• Operate serverless backend on AWS and manage infrastructure.

Skills

Typed Python

REST API design

OpenAPI

PostgreSQL

Serverless AWS Lambda

Docker

Message queues

OCR pipeline

LLM integration

Gemini on Google Cloud

Tools

AWS

PostgreSQL

Job description

The role is hands-on backend work in a small team of four or five, building and shipping features that turn insurance risk information into structured data. A strong candidate is comfortable with modern typed Python, building and documenting REST APIs, working with Postgres, and running serverless code on AWS. Experience with Docker, message queues and email or notification services helps, and so does a habit of owning a feature from prototype through to support.

How it fits the AI era

Generative AI sits at the core of the product, so much of the backend work involves wiring model outputs, document reading and validation into dependable services. AI can speed up drafting code and tests, but judgment about data quality, failure handling and what an insurer can safely rely on stays with the engineer. Strong typing and clear API contracts matter more when model outputs are unpredictable.

How it builds AI experience

Working here means building production systems around large language models, including document extraction with OCR tools and Gemini on Google Cloud. Someone without this background could build it by making a small project that reads documents, extracts fields into a validated schema and tracks where the model gets it wrong. Practising prompt design and checking results against known answers would be a good start.

Worth showing

• Typed Python with mypy
• Serverless AWS Lambda projects
• REST API design with OpenAPI
• Postgres schema and queries
• LLM or OCR pipeline work

This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.

About Cytora

Cytora builds a digital underwriting platform that digitizes commercial insurance submissions, enriches exposure data, and automates triage decisions.