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Reailize

Full Stack AI Developer

Middletown, NJ · On-site

Internally, the applications are built on a MERN stack (MongoDB, Express.js, React, Node.js ... For candidates in Quebec, this is a hybrid role, 3 days onsite out of our Montreal office.

Aventine software

Full Stack Developer

Atlanta, GA · On-site

Full-Stack Developer Location: Berkeley Heights, NJ / Alpharetta, GA(5days onsite) You will be part ... NET: C#, .NET 6/8, Web API. o MEAN/MERN: Node.js, Express, React/Angular. o LAMP: Modern PHP (8.x ...

ComboCurve, Inc.

Full-Stack Developer

Git, Docker (preferred) Qualifications * 3+ years of professional experience as a Full-Stack Developer, primarily with the MERN/TypeScript stack. * Deep understanding of TypeScript's advanced ...

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How much do day shift mern stack developer jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for day shift mern stack developer in the United States is $59.26, according to ZipRecruiter salary data. Most workers in this role earn between $49.28 and $68.27 per hour, depending on experience, location, and employer.
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Infographic showing various Day Shift Mern Stack Developer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 67% Full Time, 27% Part Time, and 5% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $123,262 per year, or $59.3 per hour.

Full Stack AI Developer

Reailize

Middletown, NJ • On-site

Full-time

Re-posted 13 days ago

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 Full Stack AI 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 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.

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