Senior Full-Stack Engineer - Enterprise AI
Turing Medical
This listing was originally posted on Turing Medical's careers page. Formulate is an equal opportunity job aggregator and is not involved in the hiring process. Where salary information is estimated, it is derived from BLS industry benchmarks and may differ from actual compensation.
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Upgrade to Pro — $25/moTuring’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at www.turing.com.
Role: Senior Full-Stack Engineer
Location: Mumbai, India
Employment Type: Full-time
Experience Level: 5+ years of professional software engineering experience
Work Model: Hybrid, with three days per week in the Mumbai office
You will build and support applications used by asset management clients, including a private equity dashboard and related enterprise software.
This is a hands-on role with ownership of complex features and application changes from requirements and design through deployment and production support. You will work across the Python backend, React frontend, APIs, integrations, and database layer while making sound engineering trade-offs and delivering maintainable software.
You will also have the opportunity to use AI-enhanced development tools such as Claude and Codex across design, implementation, testing, debugging, and code review.
Design and deliver production features using Python and React, taking ownership of complex implementation decisions.
Build and maintain Python backend applications, services, and APIs.
Develop responsive and usable web applications with React.
Translate requirements into technical designs, identify dependencies, and drive delivery through testing, release, deployment, and production support.
Implement integrations across APIs, relational databases, and enterprise systems.
Investigate issues, contribute to root cause analysis, support deployments, and help maintain reliable production applications.
Write automated tests, participate in code reviews, maintain clear technical documentation, and take ownership of code quality, security, and correctness.
Hands-on engineering: This is not a role for someone who primarily coordinates work or implements specifications without owning the underlying problem. You will be expected to design, build, test, deploy, and support production software.
Full-stack ownership: You should be comfortable working across Python backend services, React applications, APIs, databases, authentication, testing, and deployment.
Independent judgment: You will be expected to evaluate trade-offs, diagnose complex problems, ask the right questions, and move work forward with minimal direction.
AI-assisted development with accountability: You may use Claude, Codex, and other AI development tools, but you remain responsible for evaluating their output and ensuring the resulting code is secure, correct, maintainable, and production-ready.
Production full-stack experience: A track record of delivering production full-stack applications and taking technical ownership of complex features.
Python backend expertise: Hands-on experience building backend applications, services, and APIs with Python.
React experience: Hands-on experience building and maintaining production web interfaces with React.
Enterprise application fundamentals: Experience with authentication, application design, testing, deployment, SQL, data modeling, and relational databases.
Integration and cloud experience: Experience integrating applications with APIs and enterprise systems, deploying applications on a cloud platform, and supporting production systems.
AI-enhanced software development: Practical experience using Claude, Codex, or similar tools across the software development lifecycle, with the judgment to evaluate AI-generated code and maintain ownership of quality, security, and correctness.
Clear communication: The ability to collaborate effectively with engineers, business stakeholders, and cross-functional teams.
Candidates whose experience is limited to prototypes, isolated frontend work, or work without production ownership will not be a fit for this role.
Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
For applicants from the European Union, please review Turing's GDPR notice here.
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