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Generative Ai Engineer Intern Jobs (NOW HIRING)

Data and Generative AI Engineer

New Brunswick, NJ · On-site

$118K - $141K/yr

We are seeking a skilled and motivated Data and Generative AI Engineer to join our dynamic team. The candidate will have a strong background in software development, data engineering, Generative AI ...

Data and Generative AI Engineer

Raritan, NJ · On-site

$117K - $140K/yr

We are seeking a skilled and motivated Data and Generative AI Engineer to join our dynamic team. The candidate will have a strong background in software development, data engineering, Generative AI ...

* Generative AI Developer for a leading Quant Firm * Hybrid working in New York * Highly competitive ... engineer, if you're passionate about GAI, we want to hear from you! Why Join Us? * Work on cutting ...

OVA.Work is seeking a Generative AI Developer to design, develop, and deploy AI-powered applications using large language models and multimodal AI models. The ideal candidate will have strong ...

Generative AI Lead

Pleasanton, CA · On-site

$185K/yr

Generative AI Lead We are hiring a Generative AI Lead to spearhead AI innovation at our Pleasanton ... Oversee prompt engineering, fine-tuning, RLHF, and model evaluation practices * Build responsible ...

Sr. Generative AI Developer

Dallas, TX · On-site

$120K - $161K/yr

Sr. Generative AI Developer Location: Dallas TX/ Tampa FL/ New Jersey - Hybrid Fulltime/FTE Salary: Market Client: Bank Role Overview We are seeking an experienced Senior Generative AI Developer to ...

Senior Generative AI Developer

Irving, TX · On-site

$116K - $157K/yr

We are seeking an experienced Senior Generative AI Developer to design and implement cutting-edge AI solutions leveraging Retrieval-Augmented Generation (RAG) techniques. The ideal candidate will ...

Data/Ai Engineer Intern1 Data/AI Engineer in the Data & Ai Team Launch Your Career with Jade Global ... Exploring the use of LLMs, computer vision, and generative AI to address client business challenges

Data/Ai Engineer Intern1 Data/AI Engineer in the Data & Ai Team Launch Your Career with Jade Global ... Exploring the use of LLMs, computer vision, and generative AI to address client business challenges

AI Engineer

Chicago, IL · On-site

$100K - $120K/yr

... Generative AI / LLMs, including RAG, embeddings, prompt engineering, and agents • Solid ... understanding of data engineering concepts, SQL/NoSQL, and feature pipelines • Experience ...

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Generative Ai Engineer Intern information

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How much do generative ai engineer intern jobs pay per hour?

As of Jul 9, 2026, the average hourly pay for generative ai engineer intern in the United States is $19.31, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $20.91 per hour, depending on experience, location, and employer.

What does a Generative AI Engineer Intern do?

A Generative AI Engineer Intern assists in developing and testing machine learning models, specifically those that can create new content such as text, images, or audio. They work with frameworks like TensorFlow or PyTorch, collaborate with senior engineers, and help improve the performance and reliability of generative AI systems. Interns may also be involved in data preprocessing, model evaluation, and keeping up with the latest research in artificial intelligence.

What are the key skills and qualifications needed to thrive as a Generative AI Engineer Intern, and why are they important?

To thrive as a Generative AI Engineer Intern, you need a solid understanding of machine learning fundamentals, programming skills (especially in Python), and coursework or experience in artificial intelligence or computer science. Familiarity with deep learning frameworks like TensorFlow or PyTorch and version control systems such as Git is typically required, and relevant coursework or certifications in AI/ML are advantageous. Strong problem-solving skills, curiosity, and the ability to communicate complex ideas clearly help interns stand out. These skills and qualities are crucial for quickly learning advanced AI techniques, contributing to team projects, and driving innovation in a rapidly evolving field.

What types of projects can a Generative AI Engineer Intern expect to work on during their internship?

As a Generative AI Engineer Intern, you can expect to work on projects involving the development, training, and evaluation of generative models such as GANs, VAEs, or transformer-based architectures. Typical tasks may include data preprocessing, model implementation, fine-tuning, and running experiments to improve model performance. Interns often collaborate closely with data scientists, software engineers, and research teams, gaining exposure to both research and application of AI in real-world products. This role provides hands-on experience with state-of-the-art tools and frameworks, offering a valuable foundation for a future career in AI engineering or research.

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

AspectGenerative Ai Engineer InternMachine Learning Engineer Intern
Required CredentialsBasic knowledge of AI, programming, and some coursework in machine learning or AIStrong foundation in machine learning, programming, and data analysis, often with coursework or certifications
Work EnvironmentTech companies, startups, research labs focusing on AI applicationsTech firms, research institutions, and companies applying machine learning models
Industry UsageDeveloping generative models like GPT, DALL·E, and similar AI toolsBuilding predictive models, data pipelines, and machine learning algorithms

While both roles involve AI and machine learning, a Generative Ai Engineer Intern focuses specifically on creating generative models like text, images, or audio, whereas a Machine Learning Engineer Intern works broadly on developing and deploying various machine learning algorithms across different applications.

More about Generative Ai Engineer Intern jobs
What cities are hiring for Generative Ai Engineer Intern jobs? Cities with the most Generative Ai Engineer Intern job openings:
What are the most commonly searched types of Generative Ai Engineer jobs? The most popular types of Generative Ai Engineer jobs are:
What states have the most Generative Ai Engineer Intern jobs? States with the most job openings for Generative Ai Engineer Intern jobs include:
Infographic showing various Generative Ai Engineer Intern job openings in the United States as of July 2026, with employment types broken down into 67% Internship, and 33% Full Time. Highlights an 100% In-person job distribution, with an average salary of $40,174 per year, or $19.3 per hour.
Data and Generative AI Engineer

Data and Generative AI Engineer

Johnson & Johnson

Raritan, NJ

$117K - $140K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 11 hours ago


Johnson & Johnson rating

8.2

Company rating: 8.2 out of 10

Based on 108 frontline employees who took The Breakroom Quiz

30th of 73 rated pharmaceutical


Job description

At Johnson & Johnson,we believe health is everything. Our strength in healthcare innovation empowers us to build aworld where complex diseases are prevented, treated, and cured,where treatments are smarter and less invasive, andsolutions are personal.Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity.Learn more at jnj.com

As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit.

Job Function:

Technology Product & Platform Management

Job Sub Function:

Intelligent Automation Engineering

Job Category:

Scientific/Technology

All Job Posting Locations:

New Brunswick, New Jersey, United States of America, Raritan, New Jersey, United States of America

Job Description:

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow and profoundly impact health for humanity.

We are seeking a skilled and motivated Data and Generative AI Engineer to join our dynamic team. The candidate will have a strong background in software development, data engineering, Generative AI, and cloud technologies. Design, develop and deliver Generative/Agentic AI solutions that accelerate End-to-End Data Pipeline Engineering activities.

Key Responsibilities:

  • Design, develop, and maintain software solutions for the Data Technology Team.
  • Collaborate with multi-functional teams to define, design, and ship new features.
  • Implement data ingestion, transformation, and storage processes using tools equivalent to Databricks.
  • Ensure data quality and integrity through meticulous testing and validation, applying Intelligent Automation principles for development, testing and release.
  • Monitor system performance and solving issues to ensure optimal operation in line with expected SLAs.
  • Participate in code reviews and contribute to continuous improvement initiatives, working with and guiding third party vendors.
  • Stay up to date with emerging technologies and industry trends, and applying this to the ecosystem.
  • Own and lead proof of concepts and minimal viable products hands-on.
  • Present results, key insights and explain complex analysis in a simple manner to senior leaders across different functions to help drive data-driven decision making and adoption. Leverage data visualization/ dashboarding tools for interactive presentations.
  • Work on projects of varying length and complexity in an agile manner with work prioritization and deadlines.
  • Automation of data pipelines and orchestration of workflows.
  • Leverage and advance robust data architecture and cloud-based technology stack to support production-level work.
  • Partner with multi-functional teams.
  • Keep up to date to apply latest technology trends in the areas of data technology and artificial intelligence, including Generative AI.
  • Adhere to and leverage procedures and standards as applicable.
  • Ensure that all GEN AI output adheres to rules and guidelines defined by legal, Compliance and IT.

Qualifications:

  • Minimum of 4 years of relevant experience in an industry setting is required.
  • Minimum of a Bachelors degree or equivalent experience is required, preferably in Computer Science, Engineering, Data Science, Business Analytics, Science, any STEM field, Engineering or any other quantitative or STEM field. Master's degree or equivalent experience in a relevant field is preferred.
  • Ability to work and collaborate with a distributed team, innovate, and commit to common goals and achievements.
  • Familiarity with large language models and generative AI concepts (what LLMs are, tokenization, prompt-response behavior).
  • Practical experience calling LLM APIs (OpenAI, Anthropic, or similar) and integrating responses into applications.
  • Basic understanding of agentic architectures: planners, action executors, tool use, memory components, and feedback loops.
  • Hands-on experience building simple agent workflows or prototypes using an agent framework (e.g., LangChain, LlamaIndex, Haystack) or equivalent libraries.
  • Competence in prompt engineering for multi-step tasks and chaining prompts to implement simple planning/execution logic.
  • Awareness of common failure modes for agents (hallucination, looped behavior, unsafe actions) and strategies to mitigate them (validation checks, guardrails).
  • Knowledge of Big Data, Data Pipelining, Machine Learning, intermediate level of Software Development and Automation skills.
  • Ability to connect and partner with various team members (multi-functional) to identify their needs and drive adoption of the solutions.
  • Experience in handling compliance consistency, risk management and stakeholder commitments in large organizations.
  • Shown experience in software development, with a focus on and data engineering and cloud technologies.
  • Strong Python skills, with experience and aim to learn LLMs, RAG, Agentic Frameworks, Generative AI Patterns.
  • Familiarity with Databricks & Lakehouse Architecture - Unity Catalog, Delta Lake, and Delta Live Tables (DLT). Databricks Asset Bundles & Cluster Management.
  • Familiarity with cloud platforms, AWS and Azure Cloud.
  • Strong understanding of data modeling, ETL processes, and data warehousing concepts.
  • Excellent problem-solving skills and attention to detail.
  • Strong communication and collaboration skills.

Other:

The position will be located in Raritan, NJ and may require up to 10% travel.

#JNJTECH

#LI-Hybrid

Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.

Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants' needs. If you are an individual with a disability and would like to request an accommodation, please contact us via https://www.jnj.com/contact-us/careers or contact AskGS to be directed to your accommodation resource.

Required Skills:

Preferred Skills:

Advanced Analytics, Analytical Reasoning, Coaching, Computer Programming, Engineering, Human-Computer Interaction (HCI), Industry Analysis, Innovation, Manufacturing Technologies, Prototyping, Robotic Automation, Software Development Management, Systems Development, Technical Credibility, Technologically Savvy, Testing

The anticipated base pay range for this position is :

The anticipated base pay range for this position is: $79,000- $127,650

Additional Description for Pay Transparency:

Subject to the terms of their respective plans, employees and/or eligible dependents are eligible to participate in the following Company sponsored employee benefit programs: medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance. Subject to the terms of their respective plans, employees are eligible to participate in the Company's consolidated retirement plan (pension) and savings plan (401(k)). Subject to the terms of their respective policies and date of hire, Employees are eligible for the following time off benefits: Vacation -120 hours per calendar year Sick time - 40 hours per calendar year; for employees who reside in the State of Washington -56 hours per calendar year Holiday pay, including Floating Holidays -13 days per calendar year Work, Personal and Family Time - up to 40 hours per calendar year Parental Leave - 480 hours within one year of the birth/adoption/foster care of a child Condolence Leave - 30 days for an immediate family member: 5 days for an extended family member Caregiver Leave - 10 days Volunteer Leave - 4 days Military Spouse Time-Off - 80 hours Additional information can be found through the link below. https://www.careers.jnj.com/employee-benefits

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