At a Glance
- Tasks: Build and operate LLM-powered agents and generative-AI applications from ideation to deployment.
- Company: MNEE App, a fintech innovator making digital finance accessible.
- Benefits: Remote work, diverse environment, work-life balance, and career development support.
- Other info: Dynamic, fast-paced environment with opportunities for growth and innovation.
- Why this job: Join a cutting-edge team shaping the future of digital finance with AI.
- Qualifications: 3-5 years in software or machine learning engineering; strong Python and SQL skills.
The predicted salary is between 135000 - 165000 $ per year.
About MNEE App
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. Through MNEE Pay, merchants can accept stablecoin payments through their existing checkout and POS environments, with lower transaction costs, fast settlement, global reach, and no chargebacks.
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!
About the Role
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 be part of the Reporting and Analytics team, reporting to the Manager, Reporting & Analytics. 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).
Key Responsibilities
- 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.
- Work with emerging agent interoperability standards — Model Context Protocol (MCP), agent-to-agent (A2A) communication, and shared agent memory.
- 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 new models, frameworks, and techniques.
- Support AI adoption across teams through demos, documentation, and enablement.
Candidate Profile & Qualifications:
- 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., LangChain, LangGraph, CrewAI, or cloud-native agent SDKs).
- Experience building and running services on a major cloud (AWS preferred: Lambda, ECS, DynamoDB, S3, IAM).
- Familiarity with LLM evaluation and observability — measuring quality, reliability, latency, and cost of AI systems.
- Comfortable with modern engineering workflows: Git-based code review, automated testing, and CI/CD pipelines.
- Awareness of security, privacy, and governance considerations when deploying AI on sensitive data.
- Excellent analytical, communication, and problem-solving skills.
- 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.
Nice to Have
- Experience in fintech, payments, or other regulated industries.
- Exposure to Model Context Protocol (MCP), Amazon Bedrock, or agent-to-agent orchestration.
- 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. Diverse and dynamic work environment. Work-life balance and support for career development.
We thank all interested applicants; however, only those under consideration will be contacted. MNEE App is an Equal Employment Opportunity/ Veterans/Disabled/LGBT.
AI Engineer (Generative AI) in Winnipeg employer: MNEE App
MNEE App is an exceptional employer that fosters a dynamic and inclusive work culture, prioritizing employee growth and innovation in the rapidly evolving fintech landscape. With a focus on work-life balance and remote flexibility, particularly for those in Canada’s Eastern Time Zone, employees are empowered to thrive while contributing to meaningful advancements in digital finance. The company’s commitment to integrity, collaboration, and customer-centric solutions creates an environment where every team member can make a significant impact.
