About Meeru AI

Meeru AI is building an AI-native platform that transforms how finance and accounting teams operate. We connect to enterprise financial systems — ERPs, CRMs, billing platforms, HRIS — and apply machine learning to turn fragmented operational data into grounded, auditable intelligence for CFOs, controllers, and FP&A; leaders.

We deploy on customer terms — SaaS multi-tenant, SaaS single-tenant, and on-premises — across AWS, Azure, and GCP. Our customers are Fortune 500 finance teams who require data isolation, auditability, and compliance.

The Role

We are looking for a Senior AI Engineer to build the AI and intelligence layer — and help uphold the discipline that keeps it honest. Our output sits adjacent to externally reported financials, so "sounds plausible" is not valuable enough: everything the AI produces must be grounded in, and traceable to, verified data.

You'll build the machine-learning models that learn each customer's patterns, the LLM and agentic systems that produce grounded natural-language output, and help uphold the rigor that keeps that output faithful. You own significant pieces of the layer end-to-end, working closely with our Staff AI Engineer and evaluation engineer, and you build per-customer models without leaking the very signal they're meant to detect.

This is a hands‑on engineering role. You turn designs into robust production systems, measure quality rigorously,



help turn user feedback into durable improvements, and grow toward staff‑level technical ownership.

- Build per-customer ML models that learn normal vs. anomalous behavior on time-series and operational data, using statistical baselines and gradient‑boosted models (LightGBM/XGBoost) with strict anti‑leakage discipline.
- Build a template‑first natural-language generation layer that is strictly grounded in verified data, using guardrails and structured output to prevent hallucinated or unsupported statements.
- Implement agentic orchestration (LangGraph or equivalent) with verification and human‑confirmation checkpoints.
- Integrate managed LLMs running inside customer clouds (AWS Bedrock, GCP Vertex AI, Azure OpenAI).
- Partner with an evaluation engineer to gate grounding, hallucination, and faithfulness checks in CI.
- Turn user feedback into durable model and system improvements.
- Ship production Python services with SQL/warehouse access (Snowflake, PostgreSQL) in containerized, customer‑hosted deployments.

Nice‑to‑Have

- Finance or accounting domain experience (fintech, FP&A;, ERP, audit, financial close).
- Feature‑attribution experience (e.g. SHAP), along with an understanding of its limits.
- Human‑in‑the‑loop systems and feedback loops.
- Hands‑on work with Bedrock, Vertex AI, or Azure OpenAI in VPC or private deployments.
- Zero‑inflated or sparse‑event modeling.

📌 Senior AI Engineer (Canada)
🏢 Meeru AI
📍 Canada