You'll build the agent layer that powers Dynabase — orchestration, memory, tool-use, and evaluation. This is close-to-model work on a product that runs real business operations.

Design and ship the orchestration layer for Dynabase agents
Build memory and context systems that make agents reliable over time
Implement tool-use pipelines for accounting, compliance, and ERP integrations
Own evaluation frameworks to measure agent accuracy and reliability
3+ years of backend engineering in Python or TypeScript
Hands-on experience building with LLMs — not demos, production systems
Solid fundamentals in distributed systems and data pipelines
Comfortable working close to the model and close to the business logic
Experience with LangChain, LlamaIndex, or similar frameworks
Knowledge of Indian financial or compliance data systems

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