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Generative Ai Developer Jobs in Edison, NJ (NOW HIRING)

Uncountable

Platform Engineer - Generative AI

New York, NY · On-site

$120K - $160K/yr

Description Uncountable is seeking driven software engineers with a focus on Generative AI deployment in software. Uncountable's software platform is used by scientists in leading scientific R&D ...

Tekshapers Inc

Generative AI/ML Engineer

New York, NY · On-site

Role: Generative AI/ML Engineer Duration 6 Months Location: NYC, NY Position Overview: The Gen AI Specialist will leverage advanced Generative AI models and Azure OpenAI services to develop ...

eTeam

AI/ML Engineer - Generative AI

Manhattan, NY · On-site

Job Summary : eTeam is a company seeking an AI/ML Engineer specializing in Generative AI. The role involves designing, building, and deploying AI systems and collaborating with various teams to ...

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All JobsGenerative Ai Developer JobsGenerative Ai Developer Jobs in Edison, NJ

Generative Ai Developer information

See Edison, NJ salary details

$19

$46

$104

How much do generative ai developer jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for generative ai developer in Edison, NJ is $46.88, according to ZipRecruiter salary data. Most workers in this role earn between $24.38 and $56.73 per hour, depending on experience, location, and employer.

What is a generative AI developer?

A Generative AI Developer is a technology professional who specializes in designing, building, and deploying artificial intelligence systems that can create new content, such as text, images, audio, or code. They work with advanced machine learning models, like generative adversarial networks (GANs) or large language models, to enable computers to produce original outputs. These developers often collaborate with data scientists, researchers, and product teams to integrate AI-generated content into software applications and business solutions.

What are the key skills and qualifications needed to thrive as a generative AI developer?

To thrive as a Generative AI Developer, you need strong programming skills (especially in Python), a deep understanding of machine learning concepts, and an advanced degree in computer science or a related field. Familiarity with frameworks like TensorFlow, PyTorch, and experience with cloud platforms or model deployment tools are typically required. Creative problem-solving, adaptability, and effective collaboration are standout soft skills in this evolving field. These abilities are crucial to design, implement, and refine generative models that solve real-world problems and drive innovation.

What are some common challenges faced by generative AI developers when deploying models in production environments?

Generative AI Developers often encounter challenges such as ensuring model reliability, managing computational resource requirements, and addressing ethical considerations like data bias or content safety. Deploying generative models at scale requires robust monitoring to detect unexpected outputs or model drift, and collaboration with data engineers and product teams to optimize performance. Staying up-to-date with evolving frameworks and best practices is essential, as production environments demand both technical rigor and adaptability to new AI advancements.

What is the difference between Generative Ai Developer vs Machine Learning Engineer?

AspectGenerative Ai DeveloperMachine Learning Engineer
CredentialsBachelor's or higher in CS, AI, or related fields; experience with deep learning frameworksBachelor's or higher in CS, Data Science, or related fields; strong programming skills
Work EnvironmentDevelops AI models for content creation, chatbots, and creative applicationsBuilds and deploys ML models for various data-driven solutions across industries
Industry UsageTech, entertainment, marketing, and creative sectorsFinance, healthcare, tech, and e-commerce sectors

While both roles involve AI and machine learning, Generative Ai Developers focus on creating models that generate content, such as images or text, whereas Machine Learning Engineers develop broader ML solutions for diverse applications. The roles often overlap but differ mainly in their specific focus areas and use cases.

How to become a generative AI developer?

To become a generative AI developer, you should have a strong foundation in programming languages like Python, experience with machine learning frameworks such as TensorFlow or PyTorch, and knowledge of neural network architectures like transformers. Gaining expertise in natural language processing and deep learning, along with practical experience through projects or internships, is essential. Certifications in AI or data science can also enhance your qualifications.

What are popular job titles related to Generative Ai Developer jobs in Edison, NJ?

For Generative Ai Developer jobs in Edison, NJ, the most frequently searched job titles are:

What job categories do people searching Generative Ai Developer jobs in Edison, NJ look for?

The top searched job categories for Generative Ai Developer jobs in Edison, NJ are:

What cities near Edison, NJ are hiring for Generative Ai Developer jobs?

Cities near Edison, NJ with the most Generative Ai Developer job openings:

Generative Ai Developer jobs near you
Infographic showing various Generative Ai Developer job openings in Edison, NJ as of August 2026, with employment types broken down into 77% Full Time, 19% Part Time, and 4% Contract. Highlights an 71% Physical, 4% Hybrid, and 25% Remote job distribution, with an average salary of $97,520 per year, or $46.9 per hour.

Full Stack Developer - AI

GREATER NEW YORK MUTUAL INSURANCE COMPANY

Edison, NJ • On-site

$97K - $182K/yr

Other

Re-posted 13 days ago

Job description

Remote position with the ability to travel to our NJ and NY locations up to 25% of the time.
Position Summary: Full Stack AI Developer to support enterprise AI initiatives across underwriting, claims, operations, and digital platforms. This role combines full-stack software engineering with applied AI/ML and Generative AI development, including Large Language Models (LLMs), Multi-agent system design, and intelligent automation.
Essential Duties and Responsibilities:
  • Design and develop full-stack AI-enabled applications using Python, React/Next.js, and REST/GraphQL APIs.
  • Build and integrate Generative AI solutions including copilots, document intelligence, and conversational workflows.
  • Implement agentic AI patterns, RAG architecture, MCP servers and workflow orchestration.
  • Develop scalable backend services and microservices.
  • Implement parameter-efficient fine-tuning (PEFT) techniques like LoRA/MLoRA.
  • Implement MLOps/LLMOps pipelines with CI/CD using Azure DevOps.
  • Deploy and manage AI applications on Azure Cloud.
  • Ensure security, compliance, and responsible AI practices.
  • Mentor junior developers and conduct code reviews.
  • Participate in code reviews and provide mentorship to junior developers.

Education and Experience:
  • Bachelor's or Master's degree in Computer Science, Information Systems, or related field; or equivalent training/experience required.
  • 5+ years of experience in full-stack development (Python, React, .NET, SQL, PostgreSQL) required.
  • 3+ years of experience with Generative AI and Agentic AI architecture required.
  • Experience with AI/ML frameworks and cloud-based AI services required.
  • AI and Cloud certifications preferred.
  • Experience in the insurance industry is strongly preferred.
Skills:
  • Proficiency in Python, React, .NET (Framework/Core), SQL, PostgreSQL.
  • Multi-agent system design (agent orchestration, planning, coordination, tool invocation)
  • Experience with Azure DevOps, Azure Foundry, and Azure Cloud services
  • Implementation experience of RESTful & event-driven architectures, and container technologies (Docker/Kubernetes).
  • Experience with RAG architectures, techniques like LoRA/mLoRA and MCP Servers
  • Familiarity with DevOps practices.
  • Knowledge of data integration, ETL processes, and data governance frameworks.
  • Experience with Agile/Scrum methodologies.
  • Excellent problem-solving, troubleshooting, and documentation skills.
  • Strong oral and written communication skills with a customer service focus.

The salary range for this role is $97,300-$182,500. The listed annual salary range posted for this position is subject to change and may vary depending on performance, education, experience, skills, geographic location, travel requirements, demonstrated proficiency in the competencies required for the role and business needs. Base pay is just one component of GNY's total compensation package for employees. Other rewards include eligibility for an annual discretionary bonus based on performance.

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