Senior Full Stack Engineer – AI/ML

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 fast-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.

• Design, develop, and maintain secure and scalable applications using Node.js, TypeScript, and React.

• Build and maintain REST APIs, backend services, and user-facing applications.

• Architect and implement cloud solutions using Google Cloud Platform (GCP).

• 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.

• 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 experience with React, TypeScript, JavaScript, and Node.js.

• Experience designing and developing REST APIs and backend services.

• Strong understanding of modern software architecture, testing, and development practices.

• Experience with Google Cloud Platform (GCP) or a comparable cloud environment.

• Experience with Git, CI/CD, code reviews, and production deployments.

• 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.

• Familiarity with secure SDLC and production security practices.