Teams at Meeru AI Inc

Build production AI systems for finance teams, including per-customer anomaly-detection models, grounded natural-language generation, and agentic workflows with verification checkpoints. Integrate managed LLMs across AWS, Azure, and GCP; develop Python services with SQL and warehouse access; and enforce rigorous evaluation for grounding, hallucination, and faithfulness. The role also involves customer-specific modeling, anti-leakage practices, human confirmation, user-feedback loops, and secure containerized deployments.

Design and build Meeru AI’s deterministic intelligence engine and conversational AI agent layer for audited financial workflows. Architect grounded, traceable systems using RAG, tool-using agents, structured outputs, verification, human-in-the-loop controls, and automated evaluations. Lead technical direction, mentor engineers, conduct design reviews, and develop production Python services with database and cloud deployment integrations across AWS, Azure, GCP, and on-premises environments.

Own core backend services powering reproducible, traceable, and auditable financial computations. Design configuration-driven computation systems, optimize SQL and data models, ensure reliability and tenant isolation, and establish strong testing and correctness controls. Provide technical leadership through architecture reviews, engineering standards, and mentorship while partnering with data, AI, and product teams. The role supports multi-tenant and customer-hosted deployments across major cloud platforms.