Senior Full Stack Engineer- AI/ML (Toronto)

Senior Full Stack Engineer- AI/ML (Toronto)

17 Sep
|
NOMAD
|
Toronto

17 Sep

NOMAD

Toronto

Nomad is building the financial operating system for fleets: fuel cards, real-time transaction processing, invoicing, and working-capital finance, increasingly automated by production AI. We are a small, fast-moving team that cares deeply about doing right by our customers, which in our business means getting the numbers exactly right, every time. You are a passionate and resourceful Senior Full Stack Engineer with strong experience building scalable, secure applications across the front-end and back-end.

You are experienced with React, TypeScript, Node.js, and cloud technologies, and have hands‑on experience applying LLMs, machine learning, or data science to real-world products. You enjoy working in a quick-paced environment, taking ownership of features from design through production, and solving complex technical problems. You care about code quality, security, reliability, and building AI-powered experiences that are practical and production-ready.

Full Stack Engineering

Design, develop, and maintain secure and scalable applications using Node.js, TypeScript, and React. Own features end-to-end, from technical design and development through testing, deployment, and production support. Review code, troubleshoot production issues, and provide technical guidance to team members.

AI, LLM & Data Build and integrate AI/ML-powered features into Nomad's products and workflows. Develop applications using Large Language Models (LLMs) such as OpenAI, Gemini, Claude, or similar platforms. Work with technologies and approaches such as RAG, embeddings, vector search, AI agents, prompt engineering, and LLM APIs.





Apply machine learning and data science concepts to solve product and business problems. Work with structured and unstructured data and support data-driven product development. Evaluate and improve the accuracy, reliability, performance, and cost of AI-powered applications.

Implement security best practices across the application and AI/ML stack. Manage authentication, authorization, secrets, and customer data securely. Manage CI/CD pipelines and follow established code review and change management practices.

Implement logging, monitoring, alerting, and production support processes. Maintain technical documentation and support SOC 2 and other compliance requirements. 5-7+ years of professional software engineering experience building and supporting production applications. ~ Strong understanding of modern software architecture, testing, and development practices. ~ Experience with Git, CI/CD, code reviews, and production deployments. AI / ML / Data Hands‑on experience building or integrating AI/ML capabilities into production applications.

Practical experience with LLMs and Generative AI.

Experience with one or more of RAG, embeddings, vector databases, AI agents, prompt engineering, or LLM APIs.





Experience with Python for AI/ML, data processing, analytics, or backend development. Strong understanding of machine learning and/or data science concepts and their practical application.

Experience working with structured and/or unstructured data. Ability to integrate AI/ML capabilities into full-stack applications. Strong understanding of web application and API security, including OAuth 2.0, JWT, CORS, and common application vulnerabilities.

Experience with cloud infrastructure, monitoring, logging, and deployment.

Experience with LangChain, LangGraph, LlamaIndex, or similar AI frameworks.

Experience with Pinecone, pgvector, Weaviate, Vertex AI Vector Search, or similar vector databases.

Experience with scikit-learn, TensorFlow, PyTorch, or similar ML frameworks.

Experience with Google Vertex AI, Azure OpenAI, AWS Bedrock, or similar AI platforms.

Experience building AI agents or agentic workflows.

Experience in SaaS, fintech, financial services, payments, transportation, or other data-intensive environments. Flexible work schedule. Team outings and social events. Excellent extended medical, dental, and vision benefits plan.

At Nomad, we love using AI to make our processes smarter - it helps us draft engaging job descriptions, organize information, and stay on top of details. Feel free to use AI tools to prepare, research, or practice for your interview (we see you, ChatGPT fans!). But when it comes to the conversation, we want to meet the real you - no AI substitutes needed.

📌 Senior Full Stack Engineer- AI/ML (Toronto)
🏢 NOMAD
📍 Toronto

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