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Gen Ai Engineer Jobs in Edison, NJ (NOW HIRING)

Gen AI Engineer Experience: 6+ Years Location: Remote What is in it for you? As a Gen AI Engineer , you will design, develop, and maintain Generative AI solutions that drive intelligent automation ...

Gen-AI Engineers

Jersey City, NJ · On-site

$65 - $70/hr

Gen-AI Engineer Location: NJ/NY Area Experience Required: 6-8 years Positions: 4 End Customer Industry: Financial Services Bill Rate: $65-$70/hr. Strong candidates at a higher rate may also be ...

InterSources Inc is seeking a Gen AI Engineer to join their team. The role involves developing AI workflows, prompt engineering, and maintaining AI models across various environments.

Whippany, NJ (Onsite/Hybrid from Day 1) We are seeking a Gen AI Engineer with deep expertise in the Microsoft AI ecosystem to design, develop, and deploy enterprise-scale AI solutions. The ideal ...

Whippany, NJ (Onsite/Hybrid from Day 1) We are seeking a Gen AI Engineer with deep expertise in the Microsoft AI ecosystem to design, develop, and deploy enterprise-scale AI solutions. The ideal ...

Senior Gen AI Developer

Brooklyn, NY · On-site

$132K - $177K/yr

MDAEdge is a company seeking a Senior Gen AI Developer. The role involves designing and developing web applications and APIs, fine-tuning language models, and optimizing database performance while ...

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Gen Ai Engineer information

See Edison, NJ salary details

$61.6K

$115.6K

$210.2K

How much do gen ai engineer jobs pay per year?

As of Aug 30, 2026, the average yearly pay for gen ai engineer in Edison, NJ is $115,567.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,300.00 and $137,200.00 per year, depending on experience, location, and employer.

What is a Gen AI engineer?

Gen AI Engineers are professionals who design, develop, and deploy generative artificial intelligence systems, such as large language models and image generators. They combine expertise in machine learning, deep learning, and software engineering to build applications that can create new content, automate tasks, and solve complex problems. Gen AI Engineers often work with frameworks like TensorFlow or PyTorch and collaborate with data scientists and product teams to bring generative AI solutions into real-world products.

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

To thrive as a Gen AI Engineer, you need a solid background in computer science, machine learning, and deep learning, typically supported by a relevant degree and experience with AI model development. Familiarity with frameworks like TensorFlow or PyTorch, cloud platforms such as AWS or Google Cloud, and proficiency in programming languages like Python are essential, as are certifications in AI or cloud technologies. Strong problem-solving skills, creativity, and the ability to communicate complex concepts effectively help you stand out in this role. These skills and qualities are crucial for building innovative AI solutions that meet business needs and drive technological advancement.

What are some common challenges Gen AI engineers face when deploying AI models in production environments?

Gen AI Engineers often encounter challenges such as ensuring model scalability, managing computational resources efficiently, and maintaining data privacy when deploying AI models. Additionally, integrating generative models with existing systems can require significant collaboration with DevOps and software engineering teams. Monitoring model performance in real-time and addressing issues like model drift or unexpected outputs are also critical responsibilities to ensure robust and reliable AI solutions.

What is the difference between Gen Ai Engineer vs Data Scientist?

AspectGen Ai EngineerData Scientist
Required CredentialsDegree in Computer Science, AI, or related fields; experience with AI frameworksDegree in Data Science, Statistics, or related fields; strong analytical skills
Work EnvironmentTech companies, AI startups, R&D labsBusiness analytics, research institutions, tech firms
Employer & Industry UsageDevelops generative AI models, focuses on AI product developmentAnalyzes data, builds predictive models, supports decision-making
Search & Comparison IntentUnderstanding AI-specific roles, skills, and responsibilitiesData analysis, insights, and statistical modeling

While both roles involve working with data and AI technologies, a Gen Ai Engineer primarily focuses on developing and deploying generative AI models, whereas a Data Scientist emphasizes analyzing data to extract insights and build predictive models. The roles often overlap in skills and work environment but differ in their core objectives and applications.

What are popular job titles related to Gen Ai Engineer jobs in Edison, NJ?

For Gen Ai Engineer jobs in Edison, NJ, the most frequently searched job titles are:

What job categories do people searching Gen Ai Engineer jobs in Edison, NJ look for?

The top searched job categories for Gen Ai Engineer jobs in Edison, NJ are:

What cities near Edison, NJ are hiring for Gen Ai Engineer jobs?

Cities near Edison, NJ with the most Gen Ai Engineer job openings:

Infographic showing various Gen Ai Engineer job openings in Edison, NJ as of August 2026, with employment types broken down into 71% Full Time, 22% Part Time, 3% Temporary, and 4% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $115,567 per year, or $55.6 per hour.

Gen AI Engineer

VeeRteq Solutions Inc.

New York, NY • Remote

Contractor

Re-posted 17 days ago


Job description

Gen AI Engineer

Experience:
6+ Years

Location:
Remote

What is in it for you?

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 applying Machine Learning and Predictive Modeling to maximize outcomes or identify best approaches.

  • Must have deep expertise with Generative AI and Agentic AI.

  • Healthcare/health services sector experience preferred.

  • Extended work experience in software development and collaboration across teams.

  • Possess a passion for developing methods to discover solutions using large data sets and working with stakeholders to improve business outcomes.

  • Possess a drive to learn and master new technologies and techniques.

  • Advanced proficiency in Python & PyTorch to manipulate large datasets, train or evaluate AI/ML models.

  • Experience designing, conducting, analyzing, and interpreting experiments and investigations.

  • Strong problem solving, critical thinking, creativity, organizational, design, interpersonal, and communication (written, verbal, and listening) skills.

  • Fluent in English (both verbal and written).

  • Ability to work with a wide range of stakeholders, functional teams, and all levels of engineers.

  • Confirmed ability to handle multiple projects with strict deadlines.

Educational Qualifications:-
  • Advanced degree (Ph.D. or M.S. with at least three years of relevant research experience) in Statistics, Applied Mathematics or Data Science, Computer Science, or a related field.

  • Technical certification in multiple technologies is desirable.

Mandatory Skills:-
  • Search – retrieval, vector DB, RAG

  • Data extraction/parsing – OCR, GenAI-based data extraction from unstructured documents (PDFs, PNGs, texts, etc.)

  • Model/Agent evaluation frameworks – Text2SQL evaluation, RAG evaluation