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Full Stack Ai Engineer Jobs in Parlin, NJ (NOW HIRING)

CGI Inc.

AI Full Stack Developer

New Brunswick, NJ · On-site

  • Retirement

  • PTO

AI Full Stack Developer Category: Software Development/ Engineering Main location: United States, New Jersey, New Brunswick Position ID:J0726-1342 Employment Type: Full Time U.S. - What we do matters ...

Varos

Senior Full Stack Engineer

Manhattan, NY · On-site

They are seeking a senior engineer to contribute to their complex AI product by building features end-to-end and tackling technical challenges. Responsibilities : • Full Stack Development: Design ...

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$45.8K

$138.8K

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How much do full stack ai engineer jobs pay per year?

As of Aug 15, 2026, the average yearly pay for full stack ai engineer in Parlin, NJ is $138,779.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,300.00 and $162,700.00 per year, depending on experience, location, and employer.

What is a full stack AI engineer?

A Full Stack AI Engineer is a professional who develops and deploys artificial intelligence solutions across both the front-end and back-end of applications. They combine expertise in AI and machine learning with software engineering skills, allowing them to build, integrate, and maintain AI-powered features throughout the entire technology stack. Their responsibilities often include designing machine learning models, integrating them with APIs, and ensuring seamless user experiences on web or mobile platforms. Full Stack AI Engineers bridge the gap between data science and software development, enabling scalable and production-ready AI applications.

How do full stack AI engineers typically collaborate with data scientists and front-end developers on AI-driven projects?

Full Stack AI Engineers often serve as the bridge between data scientists, who develop machine learning models, and front-end developers, who build user interfaces. They work closely with data scientists to understand the model requirements and deployment needs, and with front-end teams to ensure seamless integration of AI functionalities into applications. This collaboration requires effective communication skills and a clear understanding of both the technical and user experience aspects. Regular meetings, code reviews, and shared documentation are common practices to facilitate smooth teamwork and successful project outcomes.

What are the key skills and qualifications needed to thrive as a full stack AI engineer?

To thrive as a Full Stack AI Engineer, you need strong programming skills (such as Python, JavaScript), understanding of machine learning algorithms, and experience with both front-end and back-end development, often supported by a degree in computer science or related fields. Familiarity with frameworks like TensorFlow or PyTorch, cloud platforms (AWS, Azure, GCP), and containerization tools (Docker, Kubernetes) is typically required. Excellent problem-solving abilities, collaboration, and effective communication are standout soft skills in this role. These skills and qualifications enable the seamless integration of AI models into scalable applications, ensuring innovative and robust solutions.

What are popular job titles related to Full Stack Ai Engineer jobs in Parlin, NJ?

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What cities near Parlin, NJ are hiring for Full Stack Ai Engineer jobs?

Cities near Parlin, NJ with the most Full Stack Ai Engineer job openings:

Full Stack Ai Engineer jobs near you

Full Stack Developer - P&C Insurance

Apptad, Inc.

Jersey City, NJ • On-site

Full-time

Posted yesterday

New

Job description

Job Title - Full Stack Developer - P&C Insurance
Duration: Long term contract
Location: Jersey City, NJ - Hybrid
Mandatory Skills: Java, Spring Boot, Angular, Azure, Microservices, Agentic AI workflows using LangGraph, LangChain, or comparable frameworks, P&C Insurance.
Position Summary
We are seeking a hands-on Full Stack AI Consultant to accelerate our AI-in-SDLC strategy, establish agentic workflow orchestration capabilities, and embed modern engineering best practices across the organization.
Key Responsibilities
  • Assess current engineering practices and deliver a prioritized modernization roadmap with AI integration at its core.
  • Build Enterprise Shared Services and APIs that could be reused across different product teams.
  • Define and execute an AI-in-SDLC strategy embedding intelligent automation across code generation, automated testing, code review, release notes, and deployment.
  • Design and implement agentic workflow orchestration using LangGraph, including multi-agent collaboration, tool integration, memory management, and human-in-the-loop patterns.
  • Build reusable reference implementations, libraries, and playbooks for AI-augmented engineering.
  • Drive adoption of DevOps, CI/CD, and observability practices with AI-driven enhancements.
  • Advise on engineering policies and standards that embed AI-first principles.
  • Upskill existing engineers on agentic AI patterns and AI-integrated development practices.

Qualifications & Experience
Core Engineering & Architecture:
  • 15+ years in software engineering with advisory experience.
  • Technical implementation experience that strictly aligns with the high seniority and depth required for this position.
  • Expertise in Java, Spring Boot, Angular, and cloud-native architectures on Microsoft Azure.
  • Strong background in microservices, Docker/Kubernetes, API-first design, and event-driven architectures.

AI & Agentic Systems (Strict Requirements):
  • Demonstrated, hands-on Agentic AI implementation experience.
  • Proven experience building, deploying, or operationalizing AI agents in production environments.
  • Demonstrated effective use of AI tools for software development and code review activities.
  • Ability to clearly explain AI-generated code, agent architectures, or multi-agent systems you have worked on.
  • Broad AI engineering expertise (experience that is highly platform-specific rather than demonstrating broader AI engineering expertise will not advance).
  • Hands-on experience orchestrating agentic AI workflows using LangGraph, LangChain, or comparable frameworks.
  • Proven ability to design multi-agent systems with tool use, planning, and RAG patterns.
  • Experience embedding AI into the SDLC like AI-assisted coding, intelligent test generation, automated documentation, and release automation.
  • Strong understanding of LLM orchestration, prompt engineering, and AI observability.

Domain & Soft Skills:
  • Insurance P&C domain experience strongly preferred.
  • Excellent communication skills with the ability to influence from engineering teams to senior leadership.
  • Track record of delivering measurable outcomes within time-bound engagements.

Education
  • Bachelor's or Master's in Information technology, Computer Science or related field.
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About Apptad

Sourced by ZipRecruiter

Apptad offers strategic consulting, enterprise information management and digital transformation services. With globally connected offices in US and India along with a team of trained and certified IT resources, Apptad ensures quick and effective delivery to its customers.Apptad is relentlessly reinventing the outlook of how companies leverage data. With an effort to enable our customers the ability to solve biggest problems within their organization. We perceive our clients’ problems and respond with custom solutions instead of handing over boilerplate responses.

Industry

It services

Company size

501 - 1,000 Employees

Headquarters location

Reston, VA, US

Year founded

2018

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