MNEE App is a financial technology company building simpler, faster ways for people and businesses to move and use money in the digital economy. Our vision is to make digital finance more accessible by bringing everyday financial tools and digital assets together. MNEE App combines a checking account, debit card, and crypto in one place, giving customers a simpler way to manage their money.

We’re also building the infrastructure to make stablecoins practical for everyday commerce. We’re building at the intersection of fintech, digital assets, payments, and emerging technology, and we’re growing a global team of people who want to help shape what comes next. We are seeking an AI Engineer with exposure to advanced analytics to join our growing generative-AI program and help expand it across the company!

You will build and operate LLM-powered agents and generative-AI applications, taking agentic use cases from ideation to deployment, and support the business with advanced analytics. A generative-AI advocacy mindset is welcomed. You will work closely with teams across the company to identify high-value use cases and bring AI solutions into their daily operations.

This role is remote with a preference for applicants based in Canada and in the Eastern Time Zone (ET).

Take agentic use cases from ideation to deployment: scope with stakeholders, prototype, evaluate, and ship to production. Engineer the full agent stack on managed platforms such as Amazon Bedrock: prompt design, tool / function calling, retrieval-augmented generation (RAG), conversation memory and context management, and multi-agent orchestration. Integrate AI agents into business workflows and enterprise systems — REST APIs, SQL data warehouses, messaging platforms, and third-party tools.

Build evaluation and guardrails for LLM applications: automated regression testing, output quality benchmarks, and human-in-the-loop controls.



Deliver advanced analytics — deep-dive analyses, SQL data products, and reporting that answer high-value business questions. Stay current with the generative-AI landscape and evaluate recent models, frameworks, and techniques.

Support AI adoption across teams through demos, documentation, and enablement. We look for a Project Manager who brings them to life every day: raises risks and concerns early rather than working around them, and treats customer trust and data security as non-negotiable. follows through on commitments, closes loops, and thinks end-to-end about impact on customers, teams, and the business. challenges outdated processes and uses data, experimentation, and new tools—including AI—to drive practical improvement. Customer – Puts the customer at the center of decisions; designs solutions that reduce friction and balances business goals with customer trust and experience. 3 to 5+ years of experience in software engineering, machine learning engineering, or applied AI. ~ Strong Python and SQL skills, with the habits of a production engineer: version control, code review, testing. ~ Hands‑on experience shipping LLM applications: prompt engineering, function calling, RAG, and agent frameworks (e.g., Experience building and running services on a major cloud (AWS preferred: Familiarity with LLM evaluation and observability — measuring quality, reliability, latency, and cost of AI systems. ~ Git-based code review, automated testing, and CI/CD pipelines. ~ Awareness of security, privacy, and governance considerations when deploying AI on sensitive data. ~ Degree in Computer Science, Engineering, Data Science, or a related quantitative field. ~ Must be flexible and able to work in a fast‑paced, dynamic environment and adapt to changing priorities.

Background in data science or classical machine learning (anomaly detection, forecasting, segmentation).

Experience building internal tools or integrating platforms such as Slack, CRMs, or ticketing systems. Work from home

📌 AI Engineer (Generative AI) (Montreal)
🏢 MNEE App
📍 Montreal