← All roles

Senior Software Engineer

Training Superintelligence· Frontier Data Operations
Apply on company site
São PauloFull-timePosted 3w ago

About the role

Senior Software Engineer at Turing, focused on building end-to-end production systems for STEM data, data pipelines, evaluation harnesses, sandboxed execution environments, and agentic workflows that support frontier AI research and enterprise deployment.

Responsibilities

  • Own services end-to-end: design, implementation, rollout, and production operation.
  • Build backend services and the data pipelines that generate, validate, score, and version datasets, reproducible from a commit and a config.
  • Ship data-dense internal interfaces: virtualised tables, server-side filtering, review and annotation UIs that stay fast at tens of thousands of rows.
  • Build and operate agent harnesses, multi-step loops with tool use, retries, and structured output, running against real repos and test suites.
  • Build sandboxed execution environments where model-generated code runs safely and deterministically at volume, and stand up the RL environments and eval harnesses on top.
  • Trace and debug agent runs end-to-end: where the loop stalled, which tool call failed, why the grader disagreed with the human.
  • Own infrastructure as code and CI/CD; debug production issues across the stack and drive the reliability work that follows.
  • Raise the bar through code review, design docs, and innovation, partnering with researchers and quality owners on what “good” means.

Qualifications

  • 6+ years building and operating production software, ideally at product companies with real scale.
  • Deep Python with production FastAPI and/or Django, ORM performance, migrations, async patterns.
  • Strong PostgreSQL (schema design, query optimisation, indexing) and NoSQL.
  • Frontend production with TypeScript / React / Next.js.
  • Fluent on Linux and Docker; Terraform or comparable IaC on AWS or GCP, and ownership of the CI/CD that ships it.
  • Daily use of LLM coding tools (Claude Code, Cursor, Copilot) as part of shipping, with ability to review outputs critically.
  • You've built something on top of LLM APIs that others depended on (agent, pipeline, eval) and understand fragility.
  • Comfort with non-deterministic systems and preference for controlled experiments over hunches.
  • Advanced Git and real testing discipline (unit, integration, edge cases).
  • Clear written communication; able to work independently and challenge specs when needed.

Skills

Required:PythonFastAPI / DjangoPostgreSQLTypeScript / React / Next.jsLinux / DockerTerraform / IaCCI/CDLLM toolingAgent frameworks / LLM APIsGit

Benefits

  • Note: Benefits not explicitly itemized in the description.
Last updated Sep 30, 2026. Interested? Apply on the company site.

About Training Superintelligence

Turing develops large-scale RL environments and data generation systems that train multimodal agents to improve model performance in coding, real-world, economically valuable tasks, and advanced STEM reasoning.

Train AIBuild AIHire AI TalentAI for BFSIEMNAIDatasetsEnterprise Knowledge WorkMultimodal
Company profileWebsite

More open roles at Training Superintelligence