Full-Stack Engineer (ML Infrastructure & Tooling)

Zone 5 Technologies • San Luis Obispo, CA

120d • $155,000 - $190,000

About The Position

Join us at Zone 5 Technologies where innovation and cutting-edge technology drive pioneering advancements in unmanned aircraft systems (UAS). Based in the vibrant city of San Luis Obispo CA, we're seeking talented individuals to join and contribute to our growing team. We thrive on pushing boundaries and inventing solutions to real-world challenges. Join a community of forward-thinkers who collaborate to create impactful products with a global reach. Our team, consisting of engineers and professionals, is prepared to overcome new frontiers and deliver innovative solutions in the field of unmanned aircraft systems. Join our dynamic team as a full-stack software engineer focused on ML infrastructure and internal tooling who will be responsible for building mission-critical systems that bridge internal users, machine learning models, and RAG services. Your work will enable model evaluation, dataset triage, simulation control, and deployment workflows for cutting-edge LLM-powered platforms supporting autonomous systems and defense applications.

Requirements

• Bachelor’s Degree in Computer Science, Data Science, or related field (or equivalent experience)
• 3-5 years experience (mid-level) or 5-7 years experience (senior-level) experience in full-stack development, preferably in aerospace or defense
• Proficiency in TypeScript, React and Python
• Experience with REST or gRPC APIs
• Familiarity with vector databases and embedding frameworks (e.g., Milvus, PGVector, etc.)
• Strong product sensibility and user-oriented mindset
• Ability to work cross-functionally in a fast-paced, mission-driven environment

Nice To Haves

• Experience with WebGL/Three.js for 3D visualization
• Familiarity with Tailwind UI or other modern frontend component libraries
• Understanding of designing for observability

Responsibilities

• Build front-end interfaces in React and backend services in FastAPI to support dataset triage, model evaluation, and simulation workflows
• Develop clean, maintainable Rest/gRPC APIs for tool integrations
• Document interfaces and CLI tooling for both internal and field users
• Integrate RAG (Retrieval-Augmented Generation) pipelines using LangChain, Milvus, PGVector, and Ollama
• Deploy semantic search and generation features against internal technical documents and flight data
• Implement evaluation mechanisms for LLM outputs
• Build intuitive interfaces and workflows tailored to non-ML engineers and mission operators
• Implement access control and RBAC logic for internal platforms
• Maintain reliable automation across CLI, dashboard, and backend flows
• Set up component testing using Storybook and CI-friendly unit/integration test and infrastructure
• Contribute to developer onboarding and internal tooling documentation

Benefits

• Competitive total compensation package
• Comprehensive benefit package options include medical, dental, vision, life, and more.
• 401k with company-match
• 4 weeks of paid time off each year
• 12 annual company holidays

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Bachelor's degree
• Number of Employees: 51-100 employees