Senior AI Engineer — Grounded ML for FinTech

Meeru AI Inc; Canada; On-site; CAD 120,000 - 180,000; Full time

Job summary

Meeru AI Inc is building an AI-native platform to transform how finance and accounting teams operate. We are seeking a Senior AI Engineer to build the AI layer and ensure outputs are grounded in verified data.

You will develop per-customer ML models, design a grounded NL layer, and implement agentic orchestration. You will deploy in customer clouds and ship production Python services connected to Snowflake and PostgreSQL.

Qualifications

• Hands-on AI/ML engineer: build production ML models with strong grounding in verified data.
• Experience delivering time-series anomaly detection and model validation in fintech contexts.
• Proficient in Python, building robust services with data access to warehouses.

Responsibilities

• Build per-customer ML models learning normal vs. anomalous behavior on time-series data with strict anti-leakage discipline.
• Create a template-first natural-language generation layer grounded in verified data with guardrails.
• Develop agentic orchestration with verification and human-confirmation checkpoints.
• Integrate managed LLMs running in customer clouds (AWS Bedrock, GCP Vertex AI, Azure OpenAI).
• Collaborate with evaluation engineers to gate grounding and faithfulness checks in CI.
• Ship production Python services with SQL/warehouse access in containerized, customer-hosted deployments.

Skills

ML modeling

Time-series anomaly detection

Python production services

LangGraph / agent orchestration

LLM integration

Data grounding / faithfulness checks

CI/CD / production readiness

Tools

LightGBM

XGBoost

Snowflake

PostgreSQL

Bedrock

Vertex AI

Azure OpenAI

Job description

Meeru AI Inc is building an AI-native platform to transform how finance and accounting teams operate. We are seeking a Senior AI Engineer to build the AI layer and ensure outputs are grounded in verified data.

You will develop per-customer ML models, design a grounded NL layer, and implement agentic orchestration. You will deploy in customer clouds and ship production Python services connected to Snowflake and PostgreSQL.