Full-Stack Engineer (ML Infrastructure & Tooling)

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.

Responsibilities:

Web Apps & APIs

• 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

LLM Platform Development

• 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

UX & Automation

• 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

Dev Experience & Testing

• Set up component testing using Storybook and CI-friendly unit/integration test and infrastructure

• Contribute to developer onboarding and internal tooling documentation

Qualifications:

• 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

• Experience with WebGL/Three.js for 3D visualization (preferred)

• Familiarity with Tailwind UI or other modern frontend component libraries (preferred)

• Understanding of designing for observability (preferred)