[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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