Backend Engineer (Python/Fastapi)

Turing; Greater London; On-site; GBP 41,000 - 82,000; Full time

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

Backend Engineer (Python/FastAPI) Turing•London, Greater London, United Kingdom

About Us

Based in San Francisco, California, Turing is the world's leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in software engineering, logical reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L.

Ideal Background

This role is ideal for engineers who have built production systems at companies like Google, Microsoft, Apple, Amazon, Meta, or similar high-scale engineering organizations. We especially welcome graduates from leading programs such as Harvard, Columbia, Princeton, Yale, University of Pennsylvania, and comparable institutions — though exceptional experience and skill always take precedence over pedigree.

Project Overview

What Does a Typical Day Look Like?

• Evaluate and refine AI-generated code across backend and frontend contexts to ensure that it is efficient, scalable, and reliable.
• Collaborate with cross-functional teams to enhance AI-driven coding solutions against industry performance benchmarks.
• Build agents that can verify the quality of the code and identify error patterns across full-stack applications.
• Hypothesize on steps in the software engineering cycle (prototyping, architecture design, API design, production implementation, launch, experiments, monitoring, operational maintenance) and evaluate model capabilities on them.
• Design verification mechanisms that can automatically verify a solution to a software engineering task.

Required Skills

• Several years of software engineering experience (3 years or more).
• Experience deploying scalable, production-grade software using modern languages and tools.
• Deep understanding of software architecture, design, development, debugging, and code quality/review assessment.
• Excellent oral and written communication skills for clear, structured evaluation rationales.
• Commitment: flexible engagement, minimum 10 hrs/week, up to 40 hrs/week.
• Type: Contractor (no medical/paid leave).
• Duration: 1 month (potential extensions based on performance and fit).
• Location: Candidates must be based in the United States.

Evaluation Process

• The application process takes 15-30 minutes.
• Completion of an AI video interview is required.

About Turing

Based in San Francisco, California, Turing is the world's leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L.