Software Engineer

Skills this role screens for

About the role

About Turing

Turing’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.

Senior Software Engineer

Location: Bangalore, India · In-office · Hybrid Experience: 6–8 years

The work

About the Role

We're hiring a Senior Software Engineer to own significant pieces of our product and platform end-to-end. You'll lead the design and delivery of complex systems, raise the engineering bar through reviews and mentorship, and partner across functions to ship reliable software at scale. This is a high-ownership role for an engineer who combines strong distributed-systems depth with sound design judgment and an AI-forward mindset.

The work

What You'll Do

• Own end-to-end delivery of features and services — from design through production operation.
• Design scalable, reliable distributed systems and drive key technical decisions.
• Debug and resolve production issues; improve reliability and performance.
• Raise code quality and design standards through thorough, constructive reviews.
• Mentor junior engineers and contribute to a strong engineering culture.
• Collaborate cross-functionally with product, design, and other teams.

Who they want

What We're Looking For

• 6–8 years of software engineering experience, ideally at scalable product companies.
• Proven ownership: end-to-end delivery, production debugging, and mentoring more junior engineers.
• Strong distributed systems and cloud engineering skills (AWS, GCP, or Azure).
• Solid code quality, testing, and design practices.
• A track record with measurable scale, reliability improvements, and architecture participation.
• Strong cross-functional collaboration and clear communication.
• A degree in Computer Science, IT, or a related engineering field is preferred but not required — we weight work outcomes most heavily.

Nice to have

Nice to Have

We are an equal-opportunity employer. We evaluate candidates on demonstrated skills and impact and welcome applicants from all backgrounds.

• Microservices / platform engineering experience.
• AI/LLM platform integrations.

Also

Values

• We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value.
• We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection
• We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity.

Also

Advantages of joining Turing

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.

• Work at the frontier of AI, helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks.
• Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS.
• Bring frontier AI innovation to the enterprise, applying lessons learned from leading AI labs to solve real-world business challenges.
• Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies.
• Move at the pace of AI innovation, with the speed, ownership, and impact of a startup.