Senior Full Stack Developer

Trinnex

Posted 2mo ago

The employer’s full description could not be read from their board. This is a summary of the posting — follow the apply link for the original.

Design, develop, and maintain scalable frontend and back end applications
Build, integrate, and optimize REST, GraphQL, and other APIs
Apply best practices in code quality, security, performance optimization, and testing
Contribute to the design and implementation of AI driven features
Support systems that use retrieval augmented generation (RAG), vectorized data access, and contextual retrieval strategies
Collaborate on architectures that enable agent orchestration and agent to agent (A2A) communication
Develop and execute automated testing strategies
Deploy applications through CI/CD pipelines and partner with DevOps teams
Troubleshoot and resolve complex issues across the application stack
Collaborate with developers, designers, DevOps, and domain experts
Conduct code reviews and contribute to continuous improvement of engineering practices
Mentor and support junior developers

5 years of relevant professional experience
Bachelor’s degree or equivalent experience
Proficiency with modern front end frameworks (e.g., React with Context API and Hooks)
Experience with back end development using C#/.NET and JavaScript/TypeScript (Node.js, Next.js, Express)
Solid understanding of API design, data integration, and system architecture
Experience with geospatial technologies such as ESRI, PostGIS, and Mapbox
Demonstrated ability to diagnose and solve complex technical problems
Strong communication and collaboration skills
Experience designing or contributing to agentic systems, including multi step or multi agent workflows
Understanding of RAG patterns, agent orchestration concepts, and A2A communication models
Familiarity with AI development tools and assistants (e.g., Claude, Cursor)
Proactive mindset toward learning and applying emerging technologies

Experience with cloud platforms and Kubernetes based environments
Knowledge of CI/CD pipelines and automated deployment practices
Familiarity with Google Cloud Platform (GCP)
Experience building AI driven or agent based applications in production
Hands on experience with multi agent orchestration, Model Context Protocol (MCP), and standardized agent access to local and remote data
Practical experience implementing RAG solutions, including document ingestion, vector storage, and contextual retrieval

Skills