Remote Python Infra for LLM Training and Agent Tooling

OpenTrain AI; Northern (KY); Hybrid; USD 12,000 - 22,000; Part time

Job summary

OpenTrain AI is seeking senior-minded Python engineers to design and maintain infrastructure for LLM training workflows and agent tooling. You will architect secure sandboxes and task environments, build reusable repositories and scoring pipelines, and support researchers who depend on these tools.

The listing identifies the experience level as intermediate while requiring at least five years of professional Python experience.

Qualifications

• 5+ years of professional Python experience, including production code, packaging, async I/O, and legacy-module refactoring.
• Strong testing mindset with pytest, coverage, and reliability practices.
• Advanced Linux command-line skills using bash, grep, curl, jq, and systemd.
• Understanding of basic networking, permissions, and Linux operations.
• Hands-on Docker expertise, including multi-stage Dockerfiles and docker-compose.
• Experience designing GitHub Actions or similar CI/CD workflows.
• Knowledge of CI/CD secrets management and caching.
• FastAPI or Flask proficiency for modular REST or asynchronous services.
• Experience with authentication, validation using Pydantic, and service logging.
• Ability to create devcontainer.json files, Makefiles, .env workflows, and pre-commit hooks.
• Exposure to LLM or agent infrastructure, such as sandboxes, scoring pipelines, or evaluation frameworks.
• Security awareness, including least-privilege design, image hardening, and CI scanners such as Trivy or Snyk.
• Version-control discipline, including semantic commits, PR templates, and code-review practices.

Responsibilities

• Design and maintain secure sandboxes and task environments.
• Build reusable repositories, scoring pipelines, and developer environments.
• Write clean, production-grade, test-driven Python code.
• Create unit, integration, and functional tests with pytest.
• Containerize services with Docker and debug multi-stage Dockerfiles.
• Design CI/CD pipelines that lint, test, build, and deploy.
• Support researchers who rely on the infrastructure.
• Explain tools, write concise documentation, and pair-program when needed.
• Use AI coding assistants safely, including tools such as Cursor, Claude Code, or Copilot.

Skills

Python

Docker

CI/CD

pytest

Linux

FastAPI/Flask

GitHub Actions

Security best practices

Tools

Cursor

Claude Code

Copilot

Job description

OpenTrain AI is seeking senior-minded Python engineers to design and maintain infrastructure for LLM training workflows and agent tooling. You will architect secure sandboxes and task environments, build reusable repositories and scoring pipelines, and support researchers who depend on these tools.

The listing identifies the experience level as intermediate while requiring at least five years of professional Python experience.