Job Description
About the AI Pod
nWe’re building AI Banker, not a chatbot, not a dashboard, not a support tool.
nThis 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.
nThink:
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- Systems that understand user behavior deeplyn
- Systems that act before the user asksn
- Systems that continuously learn and adaptn

nThis is backend engineering at the edge of AI, not just serving APIs, but building intelligence into systems.
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n What you’ll do
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- Build and scale backend systems powering AI-driven financial experiencesn
- Design low-latency, high-throughput services that interact with ML/AI systemsn
- Work on event-driven architectures and real-time decisioning systemsn
- Collaborate closely with AI/ML, data, and product teams to productionize intelligencen
- Own systems end-to-end from design → deployment → iterationn
- Solve for context management, orchestration, and system reliability at scalen

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n What we’re looking for
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- 3 to 6 years of strong backend engineering experiencen
- Solid fundamentals in data structures, system design, and distributed systemsn
- Strong experience building scalable APIs and backend servicesn
- Hands-on with databases (SQL or NoSQL) and performance tuningn
- Experience with event-driven systems / async processing / streaming (Kafka, etc.)n
- Exposure to AWS and containerized deploymentsn

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

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n Why this role is different
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- You’re not building features - you’re building financial intelligencen
- You’ll work on p

📌 SDE 2 - AI (Bengaluru)
🏢 Slice
📍 Bengaluru