Senior Full-Stack AI & Geospatial Engineer

Trinnex

Roswell (NM)

On-site

USD 102,000 - 179,000

Full time

5 days ago
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Job summary

Trinnex is seeking a Senior Full Stack Developer to join its Digital Solutions team. The role involves building modern applications that fuse sensor/IoT data, geospatial tech, and AI-powered agents. You will shape architectures, enable agent orchestration, and deliver scalable, production-ready systems across the full stack.

You will work with cross-functional teams, implement RAG and contextual retrieval strategies, and contribute to the design of AI-enabled features and multi-agent workflows.

Qualifications

  • Bachelor's degree.
  • 5 years of related experience.
  • Equivalent additional directly related experience will be considered in lieu of a college degree.

Responsibilities

  • Design, develop, and maintain scalable frontend and back-end applications.
  • Build, integrate, and optimize REST, GraphQL, and other APIs to support secure, high performing systems.
  • Apply best practices in code quality, security, performance optimization, and testing throughout the development lifecycle.
  • Contribute to AI-driven features, including agent-based workflows and intelligent components.
  • Develop automated testing strategies and deploy via CI/CD pipelines; collaborate with DevOps.

Skills

Full stack development
React
C#/.NET
JavaScript/TypeScript
Geospatial tech
AI agent systems
RAG/A2A
Cloud/Kubernetes
GCP
CI/CD

Education

Bachelor's degree

Tools

Kubernetes
GCP
Mapbox
PostGIS
ESRI
CI/CD pipelines

Job description

Trinnex is seeking a Senior Full Stack Developer to join its Digital Solutions team. The role involves building modern applications that fuse sensor/IoT data, geospatial tech, and AI-powered agents. You will shape architectures, enable agent orchestration, and deliver scalable, production-ready systems across the full stack.

You will work with cross-functional teams, implement RAG and contextual retrieval strategies, and contribute to the design of AI-enabled features and multi-agent workflows.

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