Software Engineer

RemoteWork; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

Turing builds infrastructure for evaluating coding agents and language models. You will own features across the stack—from data models to the UI—shipping production-grade backend and frontend work for benchmark tasks and agent evaluations.

You will design end-to-end features, develop evaluation workflows, and ensure reliability as usage grows. Strong Python/Django and PostgreSQL are essential, with TS/React for user-visible changes.

Qualifications

• 5+ years building and operating production backend systems with ownership of at least one service.
• Bachelor's degree or higher in Software Engineering, Computer Science, or a related field.
• Strong Python and Django (or similar), PostgreSQL, and a task queue such as Celery.
• Hands-on experience in LLM evaluation and understanding benchmark task construction.
• Comfort with TypeScript and React frontend for user-visible changes.
• Nice to have experience with Docker, Kubernetes, or cloud sandboxes and LLM-as-a-judge tooling.

Responsibilities

• Design and ship end-to-end features including data models, APIs, background jobs, and UI elements when needed.
• Develop and improve agent and model evaluation workflows in sandboxed environments.
• Quality-check benchmark tasks using verifiers and rubric-based or LLM-based grading.
• Integrate new models, agents, and benchmarks with generalizable approaches.
• Maintain system performance and reliability as usage grows.
• Review teammates’ pull requests to uphold engineering guidelines.

Skills

Python

Django

PostgreSQL

Celery

LLM evaluation

Education

Bachelor's degree or higher in Software Engineering/CS

Tools

Docker

Kubernetes

Cloud sandboxes

LLM-as-a-judge tooling

Job description

About the role

Turing builds infrastructure for evaluating coding agents and language models. You will own features across the stack from the data model to the UI, shipping production-grade backend and frontend work for benchmark tasks and agent evaluations.

What you'll do

• Design and ship end-to-end features including data models, APIs, background jobs, and UI elements when needed
• Develop and improve agent and model evaluation workflows in sandboxed environments
• Quality-check benchmark tasks using verifiers and rubric-based or LLM-based grading
• Integrate new models, agents, and benchmarks with generalizable approaches
• Maintain system performance and reliability as usage grows
• Review teammates’ pull requests to uphold engineering guidelines

What they're looking for

• 5+ years building and operating production backend systems with ownership of at least one service
• Bachelor's degree or higher in Software Engineering, Computer Science, or a related field
• Strong Python and Django (or similar), PostgreSQL, and a task queue such as Celery
• Hands-on experience in LLM evaluation and understanding benchmark task construction
• Comfort with TypeScript and React frontend for user-visible changes
• Nice to have experience with Docker, Kubernetes, or cloud sandboxes and LLM-as-a-judge tooling

For applicants in Nigeria

• The listing states Global - Remote and eligibility worldwide; Nigeria is included in worldwide eligibility
• The listing does not specify a timezone requirement; confirm before interviewing
• The listing does not specify contractor vs employee; confirm during interview process
• Compensation is listed as a salary range in USD; confirm currency details during hiring