[Remote] Senior Full Stack Developer

Note: The job is a remote job and is open to candidates in USA. CDM Smith, through its subsidiary Trinnex, is seeking a Senior Full Stack Developer to join their Digital Solutions team. This role involves developing high-impact applications that utilize sensor and IoT data, machine learning, and AI technologies to address engineering and environmental challenges.

Responsibilities

• Design, develop, and maintain scalable frontend and back end applications using modern frameworks and architectures
• 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 the design and implementation of AI driven features, including agent based workflows and intelligent application components
• 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 to ensure reliability and performance
• Deploy applications through CI/CD pipelines and partner with DevOps teams to support scalability, monitoring, and production readiness
• Troubleshoot and resolve complex issues across the application stack
• Collaborate with developers, designers, DevOps, and domain experts on solution design and feature delivery
• Conduct code reviews and contribute to continuous improvement of engineering practices
• Mentor and support junior developers across frontend, backend, and integration work

Skills

• Bachelor's degree
• 5 years of relevant professional experience
• Strong experience designing and developing full stack web applications
• 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, with the ability to explain technical concepts clearly
• 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

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