Salary: £? - ? per year

Several years of software engineering experience (3+ years).
Strong expertise in systems programming, infrastructure, or backend development using languages such as Python, C/C++, Rust, and Go.
Experience building and 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.
Ideal background: engineers who have built production systems at high-scale organizations (e.g., Google, Microsoft, Apple, Amazon, Meta) or graduates from strong CS programs (examples: University of Washington, University of Illinois Urbana-Champaign, UT Austin, University of Michigan, Purdue) — exceptional experience and skill take precedence over pedigree.

Create cutting-edge datasets for training, benchmarking, and advancing large language models by curating code examples, providing precise solutions, and making corrections in Python, C/C++, Rust, Go, Java, and JavaScript (including ReactJS), with emphasis on systems-level code, performance-critical applications, and infrastructure.
Evaluate and refine AI-generated code for efficiency, scalability, reliability, and systems-level correctness.
Collaborate closely with researchers and cross-functional teams to enhance enterprise-level AI-driven coding solutions and meet industry performance benchmarks.
Work on AI model training initiatives: curate code examples, build solutions, and correct code across listed languages.
Build agents that can verify the quality of systems-level and infrastructure code and identify error patterns.
Hypothesize and evaluate steps in the software engineering cycle (prototyping, architecture design, API design, production implementation, launch, experiments, monitoring, operational maintenance) and assess model capabilities on them.
Design verification mechanisms that can automatically verify solutions to software engineering tasks.

Role: Remote Senior Backend Engineer (Python/FastAPI). - Salary: 200 - 300 USD per HOUR. - Tech stack: FastAPI, Python, JavaScript, Java. - Category: Python Developer / Engineer. - Location address: 548 Market Street, PMB 18282, San Francisco, United States. Candidates must be based in the United States. - Benefits & perks: Fully home office / remote work, Flexible work time. - Engagement details: 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). - Evaluation process: application takes 15–30 minutes; completion of an AI video interview is required. - Additional: View this job and over 500 other transparent jobs with salaries & tech stacks on DevITJobs. - Company: Turing.

last updated 26 week of 2026

Senior Backend Engineer (Python/FastAPI)

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