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

We are seeking a talented Generative AI Engineer to design, develop, and deploy cutting-edge generative AI solutions. You will work on Large Language Models (LLMs), prompt engineering, and AI-powered ...

Build and manage a portfolio of AI services and platforms (e.g. generative AI models, automation tools) that business units can opt into, by leveraging distributed engineering and data resources ...

This team is responsible for delivering generative AI solutions to our business partners that will ... As an AI Engineer for North America Data Analytics focusing on Generative AI capabilities, you will ...

AI Engineer

Warren, NJ · On-site +1

AI/ML Engineer Generative AI & LLM Job Summary We are seeking a skilled AI/ML Engineer with expertise in Generative AI, Large Language Models (LLMs), and agent-based systems. The ideal candidate will ...

Technical Director, Generative AI About the Role As a Technical Director, you'll collaborate with ... Creative Technologists, ML engineers, backend developers). * Lead and guide technical teams during ...

AI Engineer

Manhattan, NY

$110K - $150K/yr

Experience with Generative AI Large Language Models (LLMs), including solution development and fine-tuning for domain-specific tasks. * Proficiency in at least one programming language such as Python ...

Experience with Generative AI Large Language Models (LLMs), including solution development and fine-tuning for domain-specific tasks. * Proficiency in at least one programming language such as Python ...

As a Gen AI Engineer , you will design, develop, and maintain Generative AI solutions that drive intelligent automation and advanced data processing. Responsibilities:- * Must have 4-6 years in ...

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Generative Ai Developer information

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How much do generative ai developer jobs pay per hour?

As of Jun 16, 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 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 are the key skills and qualifications needed to thrive as a Generative AI Developer, and why are they important?

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.

Is generative AI a good career?

Generative AI is a growing field with increasing demand for developers skilled in machine learning, deep learning, and neural networks. Careers in this area often require knowledge of programming languages like Python and familiarity with AI frameworks such as TensorFlow or PyTorch, offering opportunities in technology, research, and industry applications.

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.

What is the salary of a generative AI developer?

The salary of a generative AI developer typically ranges from $80,000 to $150,000 annually, depending on experience, location, and skill level. Senior roles or those with expertise in deep learning frameworks and large language models can earn higher compensation, often exceeding $180,000. Many positions also offer benefits such as bonuses, stock options, and flexible schedules.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence development, such as a senior Generative AI Developer or AI research lead, often involving advanced skills in machine learning, deep learning, and large language models. These roles usually require extensive experience, specialized knowledge, and may include responsibilities like designing AI systems, managing teams, or overseeing AI strategy in organizations with competitive compensation packages. Such salaries are rare and generally found in top tech companies or specialized AI firms.

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.

Which 3 jobs will survive AI?

For a Generative AI Developer, roles that require complex human judgment, creativity, and emotional intelligence are likely to persist, such as AI ethics specialists, creative professionals, and strategic consultants. These jobs involve nuanced decision-making and interpersonal skills that AI cannot fully replicate. Continuous learning and expertise in AI tools and programming languages will also help ensure job security in this field.
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:
Infographic showing various Generative Ai Developer job openings in Edison, NJ as of June 2026, with employment types broken down into 99% Full Time, and 1% Part Time. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $97,520 per year, or $46.9 per hour.

Generative AI Solutions Developer

KX Inc.

New York, NY • Hybrid

Other

Medical

Posted 13 days ago


Job description

About KX

KX software powers the time-aware data-driven decisions that enable fast-moving companies to outpace competitors, realizing the full potential of their AI investments. The KX platform delivers transformational value by addressing data challenges related to completeness, timeliness and efficiency, ensuring companies understand change over time and can achieve faster, more accurate insights at any scale, cost-effectively.

KX is essential to the operations of the world's top investment banks, aerospace and defence, high-tech manufacturing, healthcare and life sciences, automotive and fleet telematics organizations. The company has established offices and a robust customer base across North America, Europe, and Asia Pacific. 

Overview Of The Role

Own the end-to-end technical design for large-language-model (LLM) and generative-AI solutions across NVIDIA, AWS, Azure and GCP stacks. You will translate business use-cases into secure, scalable architectures, lead reference implementations, and mentor delivery teams for enterprise deployments-especially in financial-services environments.

Key Responsibilities 

  • Shape multi-cloud architectures for training, fine-tuning and serving LLMs (e.g., NeMo, Bedrock, Azure OpenAI, Vertex AI).
  • Define MLOps/GitOps patterns for model lifecycle, vector-DB indexing, retrieval-augmented generation (RAG) and guard-railing. Benchmark and cost-optimize GPU, Grace Hopper and CPU clusters (TCO & carbon impact).Build production pipelines in Python (FastAPI, LangChain, Ray, Triton, Airflow).
  • Establish security and compliance controls (encryption, IAM, SOC 2, FINRA,GDPR).
  • Support pre-sales and proofs-of-concept with capital-markets clients.

Skills 

Programming

  • Python (must-have)
  • JavaScript / TypeScript (for web + full-stack AI apps)
  • Writing clean, testable code

Math & ML Basics

  • Linear algebra (vectors, matrices, embeddings)
  • Probability & statistics
  • ML concepts: overfitting, loss functions, training vs inference

Data Skills

  • Data cleaning & preprocessing
  • Pandas, NumPy
  • SQL basics

Essential Experience

  • 10-15 yrs building cloud-native data or ML platforms on AWS, Azure and/or GCP. Deep expertise in Python plus one of Go, Java
  • or C++.Hands-on with embedding models, tokenizer optimisation, prompt orchestration and OpenAI/Anthropic APIs. Prior delivery of enterprise Gen-AI systems (risk analytics, chatbots, document generation etc.).Solid grounding in distributed systems (K8s, service mesh, Kafka, Redis, GPU scheduling).

Preferred Qualifications

  • Experience with kdb+/q, ClickHouse or similar time-series stores. Contributions to open-source AI frameworks or NVIDIA NGC containers. Working knowledge of SRE/FinOps best practice.

Location & Workplace Type

This position takes on a Hybrid working model based in Ontario, Canada.

Why Choose KX  

Data Driven: We lead with instinct and follow fact. 

Naturally Curious: We lean in, listen and learn fast. 

All In: We take ownership, take on challenges and give it our all.  

Benefits 

  • Competitive Salary
  • Individually tailored training and skills development
  • Private healthcare package and Employee Assistance Programme
  • Enhanced maternity and paternity package
  • Wellness Days and Volunteer Days

About KX

Sourced by ZipRecruiter

Industry

Manufacturing

Company size

11 - 50 Employees

Headquarters location

Los Angeles, CA, US

Year founded

2020