Senior AI Engineer — Fraud Detection

About this AI Engineer role at Razorpay

Razorpay, India's leading fintech platform, is hiring Senior AI Engineers to build fraud-detection models that process over 1 billion transactions monthly. This is a rare opportunity for experienced AI engineers in Bengaluru to work on mission-critical systems at scale—where your models directly protect millions of Indian users and merchants from fraud.

What you'll do

• Design and build production fraud-detection models using Python, PyTorch, and TensorFlow that process real-time transaction streams at billion-scale volume
• Implement gradient boosting algorithms and real-time inference systems to catch fraudulent patterns with minimal latency
• Own the full lifecycle of ML models—from data pipeline design through monitoring and retraining in the payments domain
• Collaborate with risk intelligence teams to translate business fraud-prevention goals into robust ML architectures
• Optimize model performance for both accuracy and inference speed in high-throughput payment systems

Who should apply

You should have a B.Tech or M.Tech degree and 4–8 years of hands-on experience shipping production machine learning systems. This is a senior-level role, so you need proven expertise in Python, PyTorch or TensorFlow, and gradient boosting methods. Experience in the payments domain is valuable but not mandatory; what matters most is your track record building and deploying real ML systems at scale.

Salary & offer in context

Razorpay offers ₹35–65 LPA plus ESOPs for this role. For context, senior AI Engineer salaries in India typically range from ₹30–70 LPA depending on experience and company stage; Razorpay's package sits in the upper range for private fintech. This reflects both the technical depth required and the high-impact nature of fraud-detection work.

Path to apply

You can apply directly via Razorpay's careers portal—no written exams, no long-form applications. The role is permanent, hybrid, and based in Bengaluru. The application deadline is June 30, 2026, so if you're ready, apply within the next 30 days to secure your spot.