Senior Backend Engineer — AI-Driven End-to-End Features

Benifex Limited

Greater London

Hybrid

GBP 70,000 - 110,000

Full time

14 days+

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Benefits offered by this job

Tech setup
Learning budget
Flexible work
25 days holiday
Birthday off
Wellbeing days
Healthcare plan
Employee assistance
Income protection
Life insurance
Pension
Parental leave
Benifex card

Job summary

Benifex Limited, a fast-growing UK technology company, seeks a backend engineer to design and build features for Brain, our AI-powered product. You will leverage Python and .NET, work with LangChain/LangGraph, and collaborate with remote teams to ship robust APIs and services.

You will apply AI-native development practices, own delivery quality, and contribute to AI security, observability, and performance improvements across the stack. Flexible UK-based hybrid work is offered.

Qualifications

  • Commercial GenAI experience (6+ months) including MCP and agent orchestration.
  • Ability to deliver features end-to-end with initiative and minimal direction.
  • Strong backend development experience with Python and SQL.
  • Familiarity with AI coding assistants and AI native engineering practices.
  • Experience with containerisation and CI/CD pipelines.

Responsibilities

  • Design and build features for our flagship AI product Brain.
  • Understand the Benefits product and APIs using Python/.NET experience.
  • Own the quality of what you ship; test, fix defects, learn and improve.
  • Write clear, maintainable code and provide feedback on PRs.
  • Improve performance, security, and accessibility of systems.

Skills

Python
.NET
SQL
GenAI
CI/CD
AI security
Debugging
Production support

Tools

LangChain
LangGraph
Google ADK
Kubernetes
Google Pub/Sub

Job description

Benifex Limited, a fast-growing UK technology company, seeks a backend engineer to design and build features for Brain, our AI-powered product. You will leverage Python and .NET, work with LangChain/LangGraph, and collaborate with remote teams to ship robust APIs and services.

You will apply AI-native development practices, own delivery quality, and contribute to AI security, observability, and performance improvements across the stack. Flexible UK-based hybrid work is offered.

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