Senior Full-Stack Engineer: AI-Driven Geospatial Apps

Trinnex; Grand Island (NE); On-site; USD 102,000 - 179,000; Full time

Job summary

CDM Smith Inc. is seeking a Senior Full Stack Developer to craft scalable frontend/backend systems integrating sensor/IoT data, geospatial tech, and AI-driven agents. You will work on AI-enabled architectures, RAG workflows, and multi-agent orchestration, across modern tech stacks.

The role emphasizes collaboration, code reviews, and mentorship, with focus on production-ready solutions and scalable deployments within a dynamic engineering environment.

Qualifications

• Bachelor's degree or equivalent combination of education and experience.
• 5+ years of related software development experience.
• Experience designing scalable web applications.
• Experience with AI-enabled features and agent-based workflows.
• Familiarity with RAG, vector data access, and contextual retrieval.

Responsibilities

• Design, develop, and maintain scalable frontend and backend applications.
• Build and optimize REST, GraphQL, and other APIs.
• Contribute to AI-enabled features and agent-based systems.
• Implement automated testing and CI/CD pipelines.
• Collaborate with cross-functional teams and mentor junior developers.

Skills

Full stack web development

React with Context API and Hooks

C#/.NET

JavaScript/TypeScript

API design and integration

Geospatial technologies (ESRI, PostGIS

Mapbox

AI/agent-based systems

RAG patterns and A2A communication

CI/CD and DevOps collaboration

Cloud platforms (GCP)

Kubernetes-based environments

Testing and performance optimization

Security best practices

Strong communication

Education

Bachelor's degree

5 years related experience

Tools

Kubernetes

Google Cloud Platform (GCP)

CI/CD pipelines

PostGIS

Mapbox

Esri GIS tools

Job description

CDM Smith Inc. is seeking a Senior Full Stack Developer to craft scalable frontend/backend systems integrating sensor/IoT data, geospatial tech, and AI-driven agents. You will work on AI-enabled architectures, RAG workflows, and multi-agent orchestration, across modern tech stacks.

The role emphasizes collaboration, code reviews, and mentorship, with focus on production-ready solutions and scalable deployments within a dynamic engineering environment.