Full Stack AI Developer

About the Role

Note on tech stack: Internally, the applications are built on a MERN stack (MongoDB, Express.js, React, Node.js). Direct experience with this stack to build web based application is a must have as we're primarily hiring for strong full-stack and AI-building ability to ramp up our specific stack quickly.

This role is primarily focused on software development, with approximately 80% of the responsibilities centered on designing, developing, and maintaining scalable software solutions. The remaining 20% involves working with AI/ML technologies, including contributing to AI-driven features, integrating machine learning capabilities, and supporting the development of intelligent applications. Candidates should have a strong foundation in software engineering, complemented by hands-on experience applying AI/ML concepts in production or enterprise environments.

Work Model: For US candidates, please note that this role is based in Middletown, NJ and is 100% onsite. For candidates in Quebec, this is a hybrid role, 3 days onsite out of our Montreal office.

Responsibilities:

• Design, build, and maintain full-stack web applications with AI-powered features.
• Build and integrate LLM-based features chat, copilots, summarization, extraction, and retrieval-augmented generation into products.
• Do prompt engineering, tool/function calling, and agent workflows on top of AI SDKs.
• Design evaluation and guardrail patterns for AI features (quality, safety, cost, latency).
• Develop scalable, secure backend services and APIs that wrap AI capabilities.
• Create responsive, reusable, maintainable user interfaces for AI features.
• Integrate AI SDKs, embedding models, and vector retrieval with internal services.
• Deploy applications and AI services to cloud environments.
• Set up CI/CD and monitor production AI features for latency, cost, and quality drift.
• Troubleshoot issues across the full stack.
• Work with product, design, and engineering teams in an Agile environment.
• Apply security best practices across applications and AI integrations.

Qualifications:

• Degree in computer science, AI, data science, or a related field (or equivalent experience).
• Strong programming skills, including a primary web-focused language and a language commonly used for AI/ML work.
• Direct experience with the MERN stack (MongoDB, Express.js, React, Node.js).
• Experience building AI agents or multi-step LLM workflows.
• Proven experience building production web applications end to end.
• Experience building features on top of large language models and AI SDKs prompt engineering, retrieval, and function/tool use.
• Experience building responsive user interfaces and robust backend services and APIs.
• Experience designing and integrating APIs and service-oriented architecture.
• Familiarity with embeddings, vector retrieval, and retrieval-augmented generation patterns. • Familiarity with containers and automated deployment pipelines.
• Understanding of cloud deployment and infrastructure.
• Strong understanding of authentication, authorization, and API security.
• Comfort with version control and collaborative development workflows.
• Strong debugging and problem-solving skills.

Interview Integrity:

During the interview process, we're evaluating your individual problem-solving skills, creativity, and approach to challenges. While AI tools like ChatGPT, Claude, and Cursor are part of your daily toolkit once you join B-Yond, all interviews, assessments, and take-home assignments must be completed independently. 

You may not use AI tools, third-party services, coaching platforms, or content-farming services during any part of the interview process unless we explicitly permit it. We will clearly communicate when AI tools are allowed for specific assessments.

Any indication of third-party assistance or AI-generated responses will result in immediate disqualification.