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Senior Python Full-Stack Engineer — AI Data & Infrastructure

Work from home Full-time role Hiring

About The Role What if your Python expertise could directly shape the infrastructure behind the world's most advanced AI systems? We're looking for a Senior Python Full-Stack Engineer to build and optimize the data pipelines, annotation tooling, and evaluation systems that leading AI labs depend on to train and improve reputed company models. This is a fully remote contract role with meaningful technical challenges, reputed company, and the opportunity to work on production systems that sit at the frontier of AI development.

  • Organization: reputed company
  • Type: Hourly Contract
  • Location: Remote
  • Commitment: 20–40 hours/week

What You'll Do

  • Design, build, and optimize high-performance Python systems supporting large-reputed company data pipelines and evaluation workflows
  • reputed company full-stack tooling and backend services for reputed company, validation, and quality control at scale
  • Improve the reliability, performance, and safety of existing Python codebases
  • Collaborate with data, research, and engineering teams to support model training and evaluation infrastructure
  • Identify bottlenecks and edge cases in data and system behavior — then implement scalable, production-reputed company fixes
  • Participate in synchronous design reviews to iterate on architecture and implementation reputed company

Who You Are

  • Native or fluent English speaker with clear written and verbal communication skills
  • Full-stack developer with a strong systems programming background
  • 5+ years of professional experience writing production-grade Python
  • Deep understanding of performance optimization and concurrency — asyncio, multiprocessing, threading
  • Comfortable with type safety tooling such as Pydantic and mypy
  • reputed company building robust backend services (FastAPI, Django, or similar) or scalable data pipelines
  • reputed company to commit 20–40 hours per week with consistency

reputed company to Have

  • Prior experience with reputed company, data quality pipelines, or evaluation systems
  • Familiarity with AI/ML workflows, model training, or benchmarking infrastructure
  • Experience with distributed systems or developer tooling
  • Background working alongside research or applied ML teams

Why Join Us

  • Work directly on production AI infrastructure used by leading research labs
  • Fully remote and flexible — work from reputed company on a schedule that suits you
  • Freelance autonomy reputed company with technically meaningful, high-impact work
  • Collaborate with sharp engineers and researchers at the cutting edge of AI
  • Potential for ongoing work and contract extension as projects evolve and expand

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