About the AI Pod

We’re building AI Banker, not a chatbot, not a dashboard, not a support tool.

This is a proactive, context-aware financial intelligence layer that sits alongside every user and helps them make better decisions with their money in real time.

Think:
- Systems that understand user behavior deeply
- Systems that act before the user asks
- Systems that continuously learn and adapt

This is backend engineering at the edge of AI, not just serving APIs, but building intelligence into systems.

What you’ll do
- Build and scale backend systems powering AI-driven financial experiences
- Design low-latency, high-throughput services that interact with ML/AI systems
- Work on event-driven architectures and real-time decisioning systems
- Collaborate closely with AI/ML, data, and product teams to productionize intelligence
- Own systems end-to-end from design → deployment → iteration
- Solve for context management, orchestration, and system reliability at scale

What we’re looking for
- 5+ years of solid backend engineering experience
- Solid fundamentals in data structures,



system design, and distributed systems
- Strong experience building scalable APIs and backend services
- Hands-on with databases (SQL or NoSQL) and performance tuning
- Experience with event-driven systems / async processing / streaming (Kafka, etc.)
- Exposure to AWS and containerized deployments

What makes you a strong fit (high signal)
- You’ve worked on systems with real-time decisioning or personalization
- You’ve built platforms, not just features
- You understand how to integrate backend systems with ML/AI workflows
- You’re curious about LLMs, agentic systems, or AI infra (even if not an expert yet)
- You think in systems, not endpoints

Why this role is different
- You’re not building features - you’re building financial intelligence
- You’ll work on problems where backend meets cognition
- You’ll help define what AI-first banking looks like in India

Life at slice

Life so good,

📌 SDE 3 - AI (Bengaluru)
🏢 Slice
📍 Bengaluru