Full Stack AI Developer

Reailize, Inc.

Middletown (NJ)

On-site

USD 120,000 - 160,000

Full time

14 days+

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Job summary

Reailize, Inc. is seeking an AI Full Stack Developer to design, build, and deploy intelligent web applications driven by large language models and AI SDKs. You will own features end to end—from UI and backend services to LLM-based capabilities—shipping them into production.

The role leverages a MERN stack (MongoDB, Express.js, React, Node.js). Strong full-stack and AI-building abilities are essential, with onsite work in Middletown, NJ.

Qualifications

  • Degree in computer science, AI, data science, or related field (or equivalent experience).
  • Strong programming skills, including a web-focused language and a language 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 UIs and robust backend services and APIs.
  • Familiarity with embeddings, vector retrieval, and retrieval-augmented generation patterns.

Responsibilities

  • Design, build, and maintain full-stack web applications with AI-powered features.
  • Integrate LLM-based features (chat, copilots, summarization) into products.
  • Perform prompt engineering and tool integration on AI SDKs.
  • Design evaluation guardrails for AI features (quality, safety, cost, latency).
  • Develop scalable, secure backend services and APIs wrapping AI capabilities.
  • Deploy apps and AI services to cloud environments.
  • Set up CI/CD and monitor production AI features.

Skills

AI/ML
Full stack development
Prompt engineering
Agile development
Problem solving

Education

Bachelor's degree in CS/AI/Data Science

Tools

MongoDB
Express.js
React
Node.js

Job description

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. By combining deep expertise, advanced engineering, and patented software, we transform complexity into opportunity. Here, curiosity, collaboration, and bold ideas aren’t just welcomed – they’re celebrated.

What makes us different?

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.

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 plus, but we're primarily hiring for strong full-stack and AI-building ability the right candidate can ramp on our specific stack quickly.

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.
  • 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.

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