Job description

Company Overview If you are passionate about water and technology, Trinnex is the place for you! Trinnex is a visionary company that is transforming the way water resources are managed and protected. By combining cutting-edge digital technologies, such as sensor/IoT data, models, geospatial data, and AI/machine learning, we create innovative, smart, and scalable solutions that make a difference. Whether it's optimizing water supply and demand, detecting leaks and anomalies, or enhancing water quality and resilience, Trinnex delivers value and impact to public sector clients across the country. Job Description Trinnex is looking for a Senior Full Stack Developer to join our growing Digital Solutions team. You’ll work on modern, high ‑ impact applications that bring together sensor and IoT data, geospatial technologies, machine learning, and AI ‑ powered agent systems to solve real ‑ world engineering and environmental challenges. In this role, you ’ ll help shape next ‑ generation intelligent applications, including systems that use autonomous and semi ‑ autonomous agents, retrieval ‑ augmented generation (RAG), and agent orchestration frameworks. You ’ ll work across the full technology stack, collaborate with a talented, cross ‑ functional team, and have the opportunity to influence technical direction while building scalable, production ‑ ready solutions. Full Stack & API Development • 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. AI Enabled & Agent Based Systems • 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. Testing, Deployment, and DevOps Collaboration • 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. Collaboration, Mentorship, and Delivery • 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 & Abilities • 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. Qualifications • Bachelor's degree. • 5 years of related experience. Equivalent additional directly related experience will be considered in lieu of a college degree. Domestic and/or international travel may be required. The frequency of travel is contingent on specific duties, responsibilities, and the essential functions of the position, which may vary depending on workload and project demands. Preferred Qualifications • 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. Amount of Travel Required No Travel is required EEO Statement We attract the best people in the industry, supporting their efforts to learn and grow. We strive to create a challenging and progressive work environment. We provide career opportunities that span a variety of disciplines and geographic locations, with projects that our employees plan, design, build and operate as diverse as the needs of our clients. CDM Smith Inc. and its divisions and subsidiaries are an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, pregnancy related conditions, childbirth and related medical conditions, sexual orientation, gender identity or gender expression), national origin, age, marital status, physical or mental disability, veteran status, citizenship status, genetic information or any other characteristic protected by applicable law. Background Check and Drug Testing Information CDM Smith Inc. and its divisions and subsidiaries (hereafter collectively referred to as “CDM Smith”) reserves the right to require background checks including criminal, employment, education, licensure, etc. as well as credit and motor vehicle when applicable for certain positions. In addition, CDM Smith may conduct drug testing for designated positions. Background checks are conducted after an offer of employment has been made in the United States. The timing of when background checks will be conducted on candidates for positions outside the United States will vary based on country statutory law but in no case, will the background check precede an interview. CDM Smith will conduct interviews of qualified individuals prior to requesting a criminal background check, and no job application submitted prior to such interview shall inquire into an applicant's criminal history. If this position is subject to a background check for any convictions related to its responsibilities and requirements, employment will be contingent upon successful completion of a background investigation including criminal history. Criminal history will not automatically disqualify a candidate. In addition, during employment individuals may be required by CDM Smith or a CDM Smith client to successfully complete additional background checks, including motor vehicle record as well as drug testing. Massachusetts Applicants It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Pay Range Min USD $102,170.00 Pay Range Max USD $178,776.00 Additional Pay Range Information CDM Smith is committed to fair and equitable compensation practices. This pay range is a good faith estimate representative of all experience levels for the geographic location assigned to the position. In addition to geographic location, a candidate’s salary is determined by several other factors including, but not limited to, the role, function and associated responsibilities, relevant work experience, skills, required certifications, and education/training. Additional Compensation All bonuses at CDM Smith are discretionary and may or may not apply to this position. Visa Sponsorship Available No-We will not support sponsorship in the United States, i.e. H-1B or TN Visas for this position Agency Disclaimer All vendors must have a signed CDM Smith Placement Agreement from the CDM Smith Talent Acquisition Manager to receive payment for your placement. Verbal or written commitments from any other member of the CDM Smith Inc. and its divisions and subsidiaries staff will not be considered binding terms. All unsolicited resumes sent to CDM Smith Inc. and its divisions and subsidiaries and any resume submitted to any employee outside of CDM Smith Talent Acquisition Team will be considered property of CDM Smith. CDM Smith Inc. and its divisions and subsidiaries will not be held liable to pay a placement fee.

Requirements

Must-haves

Company Overview
Full Stack & API Development
Apply best practices in code quality, security, performance optimization, and testing throughout the development lifecycle.
AI Enabled & Agent Based Systems
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.
Testing, Deployment, and DevOps Collaboration
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.
Collaboration, Mentorship, and Delivery
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 & Abilities
Strong experience designing and developing full stack web applications.
Proficiency with modern front-end frameworks (e.g., React with Context API and Hooks).

Nice-to-haves

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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Keywords to mirror

aimachine learningapirestgraphqlci/cdreactjavascripttypescriptnode.jsnext.jskubernetesgcp

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