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AI Full Stack Developer
B-Yond
Montreal, CAN
Full Time
Mid
Hybrid
1 weeks ago
MERN StackReactNode.jsMongoDBExpress.jsLarge Language Models
Free
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MERN StackReactNode.js
About the Role
Reailize (B-Yond) is seeking an AI Full Stack Developer to design, build, and deploy intelligent web applications powered by large language models and AI SDKs. You will own features end-to-end from UI and backend services to LLM-based capabilities and ship them into production.
Key Skills for This Role
MERN StackReactNode.jsMongoDBExpress.jsLarge Language Models
Responsibilities
- Design, build, and maintain full stack web applications with AI powered features
- Build and integrate LLM based features (chat, copilots, summarization, extraction, RAG) 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
Requirements
- Degree in computer science, AI, data science, or 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, 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
Full Job Posting
Join Reailize – where innovation meets impact.
- We’re on a mission to help global enterprises work smarter, faster, and more efficiently at the cutting edge of AI, data, and cloud.
- We are a private & global group of companies with 20+ years of proven track record, supporting leading organizations in Telecom, Security, and Real Estate across North America, Europe, the Middle East, and Latin America.
About The Role
- We are looking for an AI Full Stack Developer to design, build, and deploy intelligent web applications powered by large language models and AI SDKs.
- You will own features end to end from the user interface and backend services to the LLM based capabilities that drive them and ship them into production.
- Internally, applications are built on a MERN stack (MongoDB, Express.js, React, Node.js). Direct experience is a plus, but we're primarily hiring for strong full stack and AI building ability.
Work Model
- For US candidates: based in Middletown, NJ, 100% onsite.
- For candidates in Quebec: 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.
Interview Integrity
- During the interview process, we evaluate your individual problem solving skills, creativity, and approach to challenges.
- AI tools like ChatGPT, Claude, and Cursor are part of your daily toolkit once you join, but all interviews, assessments, and take home assignments must be completed independently.
- Any indication of third party assistance or AI generated responses will result in immediate disqualification.
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