Contract Backend Engineer – Python/FastAPI for AI

Turing

Greater London

On-site

GBP 41,000 - 82,000

Full time

7 days ago
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Job summary

Turing is seeking a Backend Engineer (Python/FastAPI) to join a London-based project as a contractor. The role focuses on evaluating AI-generated code, building reliable backend systems, and collaborating with cross-functional teams to raise performance standards.

Ideal candidates have production-grade software experience, strong architecture knowledge, and excellent communication. The position runs about 10–40 hours per week for up to one month, with potential extension based on performance.

Qualifications

  • 3+ years of software engineering experience.
  • Experience deploying scalable, production-grade software.
  • Deep understanding of software architecture, design, development, debugging, and code quality/review.
  • Excellent oral and written communication skills.
  • Commitment: 10–40 hrs/week.
  • Contractor (no medical/paid leave).
  • Duration: 1 month; extensions based on performance.
  • Location: United States-based candidates are required.

Responsibilities

  • Evaluate and refine AI-generated code across backend and frontend contexts to ensure efficiency, scalability, and reliability.
  • Collaborate with cross-functional teams to enhance AI-driven coding solutions against performance benchmarks.
  • Build agents that verify code quality and identify error patterns across full-stack apps.
  • Hypothesize on software engineering cycles and assess model capabilities accordingly.
  • Design verification mechanisms to automatically verify solutions to software tasks.

Skills

Backend development
Python
FastAPI
Production systems
Code quality
Communication
Contract work

Tools

CI/CD

Job description

Turing is seeking a Backend Engineer (Python/FastAPI) to join a London-based project as a contractor. The role focuses on evaluating AI-generated code, building reliable backend systems, and collaborating with cross-functional teams to raise performance standards.

Ideal candidates have production-grade software experience, strong architecture knowledge, and excellent communication. The position runs about 10–40 hours per week for up to one month, with potential extension based on performance.

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