Jobs 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.

Owns data architecture and scalable engineering systems for an AI-native finance platform. Responsibilities include canonical data modeling, configurable connectors, SQL/dbt transformation, warehouse optimization, orchestration, CDC, lineage, data quality, schema evolution, and audit-ready traceability. The role also supports curated data for ML and LLM systems, customer-hosted multi-cloud deployments, mentoring distributed engineers, and collaboration with AI, backend, product, and US-based leadership.

Build and own production-grade data pipelines, source connectors, warehouse transformations, curated models, reconciliation, lineage, and data quality systems. Design scalable dbt projects and orchestration workflows using Airflow or Dagster, optimize warehouse performance, integrate messy enterprise systems, and ensure pipelines are reliable, idempotent, auditable, and cost-effective. Collaborate with backend and AI teams, establish data contracts, review work, and mentor engineers.

Own the AI and intelligence layer for a finance platform, including customer-specific ML models, anomaly detection, LLM and agentic systems, RAG, grounding, evaluation, and hallucination controls. Build production-grade Python services, ensure leakage-free modeling and faithful outputs, deploy across customer cloud environments, and provide technical leadership while mentoring engineers and partnering with product, data, backend, and evaluation teams.

Lead QA automation strategy and people management while building comprehensive API, UI, backend, performance, security, and database test frameworks. Develop Python and TypeScript automation, integrate quality gates into CI/CD, validate multi-tenant SaaS isolation, and support compliance requirements. Collaborate with Product, Engineering, and DevOps on testability, releases, metrics, and risk communication. Preferred experience includes AI/LLM testing, fintech, observability, chaos engineering, and startup environments.

Build production AI systems for finance teams, including per-customer anomaly detection models, grounded natural-language generation, agentic workflows, and managed LLM integrations. Develop Python services with SQL and warehouse access in containerized customer deployments. Establish rigorous evaluation, anti-leakage, hallucination, grounding, and faithfulness controls, incorporate human confirmation checkpoints, and convert user feedback into durable model and system improvements.

Own core backend services for a finance AI platform, building reliable, configuration-driven computation systems over financial and operational data. Ensure results are traceable, reproducible, auditable, and correctly reconciled. Provide technical leadership through architecture, design reviews, engineering standards, and mentorship while partnering with data, AI, and product teams. The role involves production Python, advanced SQL and data modeling, multi-tenant or customer-hosted deployments, and high standards for correctness and system reliability.

Own the end-to-end architecture of Meeru AI’s AI-native, multi-tenant, multi-cloud platform. Design secure, portable systems spanning customer data foundations, backend services, AI capabilities, and applications. Establish standards for tenant isolation, auditability, traceability, correctness, and configuration-driven onboarding. Provide hands-on technical leadership through reference implementations, design reviews, architecture decisions, and mentoring while partnering with product leaders, founders, customers, and security stakeholders.