Senior Python Engineer: AI Code Review & Feedback

prolificacademicltd; United States; Remote; USD 57,000 - 81,000; Full time

Benefits offered by this job

Remote work

Upskilling opportunities

Job summary

Prolific Academic Ltd. is seeking a senior Python software engineer to contribute expertise in training and evaluating AI models through paid, task-based work.

You will review generated Python code, assess explanations, run validation scripts, and provide structured feedback on software engineering topics. The role requires solving medium-to-hard algorithmic problems, deep knowledge of Python internals, and experience with Django, FastAPI or Flask.

Qualifications

• Bachelor's degree or higher in computer science, software engineering, or closely related field.
• Senior software engineer or developer experience with Python.
• Ability to solve medium-to-hard algorithmic problems independently.
• Strong knowledge of Python features including decorators, generators, memory management and the GIL.
• High standards for modular, readable code following Python conventions.
• Experience with Python 3, type hints, and REST or GraphQL APIs.

Responsibilities

• Assess generated Python code for correctness, readability and sound engineering practices.
• Check explanations for valid reasoning and identify gaps or errors.
• Run scripts to verify behavior, output and performance.
• Flag inefficient approaches, outdated syntax, and unsupported library usage.
• Provide feedback on backend design, data pipelines, and APIs.
• Help improve AI systems’ ability to interpret and summarize complex technical material.

Skills

Python internals

Asynchronous programming

Code review

Algorithmic problem solving

GIL knowledge

REST/GraphQL APIs

Education

Bachelor's degree in CS/SE

Tools

Django

FastAPI

Flask

Job description

Prolific Academic Ltd. is seeking a senior Python software engineer to contribute expertise in training and evaluating AI models through paid, task-based work.

You will review generated Python code, assess explanations, run validation scripts, and provide structured feedback on software engineering topics. The role requires solving medium-to-hard algorithmic problems, deep knowledge of Python internals, and experience with Django, FastAPI or Flask.