Full Stack Developer – AI Enablement & Agentic Development

About Us
Excellis Interactive is a technology and creative consulting firm specializing in digital experience transformation for enterprise marketing and content operations. We partner with Comcast Business Digital Experience (DXT) to enhance web publishing, content governance, and digital optimization through CMS platforms like Sitecore.

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The Opportunity

We’re seeking a Full Stack Developer to help Excellis build, modernize, and accelerate AI-enabled software solutions across our internal products, client platforms, and emerging AI development workflows. This role is ideal for a developer who is not only strong across the front end and back end, but also comfortable using AI tools as part of the daily engineering process.

You’ll work with modern development tools, AI coding assistants, Git-based workflows, prompt-driven development, and agentic engineering practices to help us move faster, improve quality, and build reusable software components. This role will support Excellis initiatives including CUE product development, AI workflow enablement, client-facing prototypes, integrations, internal tooling, and scalable platform architecture.

We are looking for someone who can code, think, prompt, test, collaborate, and continuously improve how software gets built in an AI-enabled environment.

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In This Role You Will

• Build and maintain full stack applications across front-end, back-end, API, database, and integration layers.
• Use AI-enabled development tools such as Cursor, Claude Code, Codex, GitHub Copilot, or similar platforms to accelerate development, debugging, documentation, testing, and refactoring.
• Work within Git-based workflows using Bitbucket, GitHub, pull requests, branches, commits, code reviews, and release processes.
• Translate business requirements, user stories, prompts, and technical concepts into clean, scalable, production-ready software.
• Support the development of reusable components, modular features, APIs, connectors, and AI-enabled workflow patterns.
• Collaborate with product, strategy, UX, QA, and engineering teams through Agile, Kanban, and iterative delivery models.
• Help define and refine AI-assisted development practices, including prompt patterns, coding loops, review loops, testing loops, and documentation standards.
• Contribute to CUE platform development and other Excellis product initiatives with a focus on scalability, maintainability, and repeatable deployment.
• Integrate third-party services, APIs, AI tools, data sources, and enterprise systems into modern web applications.
• Review AI-generated code for quality, security, performance, maintainability, and alignment with architecture standards.

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Job Responsibilities

• Develop front-end interfaces using modern JavaScript/TypeScript frameworks and component-based architecture.
• Build back-end services, APIs, data models, integrations, and business logic to support scalable applications.
• Work with AI coding tools to generate, review, improve, and test code while maintaining engineering discipline and human oversight.
• Create and maintain reusable libraries, shared components, templates, and development patterns.
• Participate in sprint planning, backlog refinement, Kanban workflows, story estimation, technical design, and delivery tracking.
• Use Git, Bitbucket, GitHub, and related tools to manage source control, branching strategies, pull requests, releases, and code reviews.
• Write clear technical documentation, implementation notes, AI prompts, setup instructions, and developer handoff materials.
• Debug, troubleshoot, and optimize application performance across front-end, back-end, database, and integration layers.
• Collaborate with QA to support automated testing, regression testing, acceptance criteria, and release validation.
• Partner with senior technical leads to improve architecture, code quality, security, deployment practices, and AI-assisted development standards.
• Evaluate emerging AI development practices and help Excellis apply them in practical, secure, client-ready ways.
• Support proofs of concept, prototypes, internal tools, and client-facing demos that show how AI can improve workflows and software delivery.

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Ideal Match

• A hands-on full stack developer who is excited about building software in a modern AI-enabled engineering environment.
• Comfortable using AI tools as a force multiplier, but disciplined enough to validate, test, and improve the output.
• Strong problem-solver who can move from ambiguity to working software.
• Collaborative team player who communicates clearly with technical and non-technical stakeholders.
• Curious, adaptable, and motivated to stay current with AI development tools, agentic workflows, and modern engineering practices.
• Understands that AI can accelerate development, but quality, architecture, security, and maintainability still matter.
• Comfortable working in a fast-moving environment where requirements evolve and iteration is part of the process.
• Interested in helping Excellis build reusable, scalable, productized solutions rather than one-off custom development.

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Skills & Tools

Must Have

• 3–7 years of professional full stack development experience.
• Strong experience with JavaScript and/or TypeScript.
• Hands-on experience with modern front-end frameworks such as React, Angular, Vue, or similar.
• Experience building back-end services, APIs, integrations, and data-driven applications.
• Familiarity with Node.js, .NET, Java, Python, or similar back-end technologies.
• Experience working with relational and/or NoSQL databases.
• Strong understanding of REST APIs, authentication, application architecture, and integration patterns.
• Experience with Git-based workflows, including Bitbucket, GitHub, branching, pull requests, commits, and code reviews.
• Experience working in Agile, Scrum, Kanban, or iterative product development environments.
• Hands-on experience using AI-assisted development tools such as Cursor, Claude Code, OpenAI Codex, GitHub Copilot, ChatGPT, or similar.
• Ability to write clear prompts, evaluate AI-generated code, debug issues, and improve outputs through iterative development loops.
• Strong debugging, troubleshooting, testing, and documentation skills.
• Excellent communication skills and ability to work across product, design, QA, and engineering teams.

Nice to Have

• Experience with AI agents, agentic development workflows, MCP servers, AI tool configuration, or prompt libraries.
• Experience with CI/CD pipelines, DevOps workflows, cloud hosting, or deployment automation.
• Familiarity with AWS, Azure, Vercel, Netlify, Docker, or similar cloud and deployment platforms.
• Experience with enterprise CMS, digital experience platforms, marketing technology, or content operations systems.
• Experience developing reusable components, design systems, SDKs, connectors, or platform modules.
• Familiarity with Jira, Linear, Trello, Azure DevOps, or other backlog and Kanban management tools.
• Experience integrating LLMs, AI APIs, vector databases, workflow automation tools, or enterprise data sources.
• Understanding of security, privacy, governance, and responsible AI considerations in software development.
• Experience modernizing legacy applications or turning custom solutions into repeatable product features.
• Exposure to Comcast, enterprise consulting, marketing operations, or digital transformation environments.

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Key Collaboration Partners:

• Product & Strategy Leads
• Senior Developers & Technical Architects
• UX/UI Designers
• QA Engineers
• Project Managers & Scrum Leads
• Client Stakeholders
• AI Enablement & Innovation Teams

Pay: $75,000.00 - $100,000.00 per year

Benefits:

• 401(k) matching
• AD&D insurance
• Disability insurance
• Health insurance
• Life insurance
• Vision insurance

Application Question(s):

• Describe your current experience with Ai tools
• Describe a project you personally delivered that involved Ai Development using the tools mentioned)
• Can you work at our KOP location along with the rest of our team?

Work Location: In person