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 solid backend engineering experiencen
Solid fundamentals in data structures, system design, and distributed systemsn
Solid 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