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Senior Full-Stack Engineer

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Senior Full-Stack Engineer in Others

  • Mumbai, India

Responsibilities

  • Design and deliver complex production features using Python and React.
  • Build and maintain Python backend applications, services, and APIs.
  • Develop responsive web applications with React.
  • Own delivery from requirements and technical design through testing, release, deployment, and production support.
  • Implement integrations across APIs, relational databases, and enterprise systems.
  • Investigate production issues, support deployments, and contribute to root cause analysis.
  • Write automated tests, participate in code reviews, maintain technical documentation, and ensure code quality, security, and correctness.

Requirements

  • At least five years of professional software engineering experience.
  • Production experience delivering full-stack applications and owning complex features.
  • Hands-on experience building Python backend applications, services, and APIs.
  • Hands-on experience building and maintaining production interfaces with React.
  • Experience with authentication, application design, testing, deployment, SQL, data modeling, and relational databases.
  • Experience integrating applications with APIs and enterprise systems, deploying to a cloud platform, and supporting production systems.
  • Practical experience using Claude, Codex, or similar AI-enhanced development tools, with judgment to evaluate generated code.
  • Ability to collaborate with engineers, business stakeholders, and cross-functional teams.
  • Preferred experience building and testing AI agents that combine large language models with tools or APIs, evaluating agent outputs, and handling failures.
  • Preferred experience in financial technology, asset management, or other enterprise environments.

Benefits

  • Work at the frontier of AI and contribute to datasets, reinforcement learning environments, benchmarks, and enterprise AI systems.
  • Opportunities to contribute to AI research and showcase work at conferences such as ICLR, ICML, and NeurIPS.
  • Collaborate with colleagues experienced at Google, Meta, Amazon, and other leading technology companies.
  • Full-time hybrid work arrangement with three days per week in the Mumbai office.

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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