[Hiring] Senior Full Stack Engineer @Nomad

Role Description

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.

Key Responsibilities

• Full Stack Engineering
  • 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.
• 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.
• Security, Cloud & Production
  • 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.

Qualifications

• 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.

Preferred Qualifications

• 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 with Docker, Kubernetes, Terraform, or microservices.
• Experience in SaaS, fintech, financial services, payments, transportation, or other data-intensive environments.
• Experience supporting SOC 2, ISO 27001, or similar compliance frameworks.

Benefits

• Competitive compensation of $120,000-140,000 based on experience and qualifications.
• Flexible work schedule.
• Growth and development opportunities.
• Team outings and social events.
• Excellent extended medical, dental, and vision benefits plan.