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Senior Software Engineer

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Senior Software Engineer in Remote

  • Worldwide

Responsibilities

  • Design and ship features spanning data models, APIs, background workers, and UI components.
  • Build and improve evaluation workflows for coding agents and language models, including sandboxed trials, scoring, and result aggregation.
  • Develop benchmark quality checks using verifiers, rubric-based grading, and LLM-as-a-judge evaluation.
  • Integrate new models, agents, and benchmarks through generalizable systems rather than special-case implementations.
  • Improve system performance and reliability through efficient queries, safe migrations, and concurrency controls.
  • Review pull requests and maintain consistent engineering standards across the codebase.

Requirements

  • Typically 5+ years of experience building and operating production backend systems, including ownership of a service from design through on-call.
  • Strong Python experience with Django or a similar framework, PostgreSQL, and a task queue such as Celery.
  • Hands-on experience with LLM evaluation, including benchmark construction, agent-trial scoring, and result aggregation and comparison.
  • Ability to assess benchmark task quality, verifier weaknesses, leaked answers, ambiguous instructions, and misleading checks.
  • Experience owning loosely defined work through design, migrations, tests, edge cases, and production delivery.
  • Comfort working with TypeScript and React when frontend changes are required.
  • Clear technical writing and ability to make pragmatic architecture and implementation tradeoffs.
  • Preferred experience includes Harbor, Terminal-Bench, SWE-bench, Inspect, sandboxed or containerized agents, Docker, Kubernetes, Modal, Daytona, distributed job scheduling, concurrency controls, database locking, coding agents, MCP, and open-source evaluation or infrastructure projects.

Benefits

  • Work at the frontier of AI and help leading AI labs improve models through datasets, reinforcement learning environments, and benchmarks.
  • Contribute to AI research and potentially showcase work at conferences such as ICLR, ICML, and NeurIPS.
  • Apply frontier AI research to enterprise challenges and collaborate with experienced colleagues from major technology companies.
  • Work in a startup-paced environment with substantial ownership and impact.
  • The posting does not state a specific work arrangement, contract duration, or compensation details.

Turing

Turing builds AI data pipelines and systems for enterprises and AI labs. It creates large-scale datasets and reinforcement-learning environments to train and evaluate models, and deploys agentic AI applications in domains like software engineering and enterprise workflows. The company also operat...

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