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Generative Ai Junior Jobs (NOW HIRING)

Virtusa

AI Architect

New York, NY · On-site

Design, develop, and deploy AI/ML models focusing on Generative AI and Multi-Agent systems ... Mentor junior engineers and contribute to the development of a strong AI/ML engineering team.

New

Virtusa

AI Architect

New York, NY · On-site

Design, develop, and deploy AI/ML models focusing on Generative AI and Multi-Agent systems ... Mentor junior engineers and contribute to the development of a strong AI/ML engineering team.

New

Rialto Capital

Junior AI Engineer - Co-op

Miami, FL · On-site

LLM & Generative AI Application Development: Assist in designing and implementing web and API-based applications that incorporate generative AI capabilities, leveraging frameworks like LangChain to ...

Rialto Capital

Junior AI Engineer - Co-op

Miami, FL

LLM & Generative AI Application Development: Assist in designing and implementing web and API-based applications that incorporate generative AI capabilities, leveraging frameworks like LangChain to ...

Up2date Technologies

Senior AI Engineer

Jersey City, NJ · On-site

$109K - $149K/yr

Design and develop enterprise AI applications using LLMs and Generative AI. Build AI Copilots, RAG ... Mentor junior engineers and participate in architecture and code reviews. Required Qualifications:

New

ApTask

Gen AI Engineer

Charlotte, NC · On-site

... utilize generative AI to enhance contact center operations and streamline code generation ... junior team members. Qualifications : Required : • Deep understanding of AI, machine learning ...

New

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Generative Ai Junior information

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$7

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$47

How much do generative ai junior jobs pay per hour?

As of Jul 13, 2026, the average hourly pay for generative ai junior in the United States is $26.96, according to ZipRecruiter salary data. Most workers in this role earn between $16.35 and $33.17 per hour, depending on experience, location, and employer.

What does a Generative AI Junior do?

A Generative AI Junior assists in developing and implementing artificial intelligence models, particularly those focused on generating content such as text, images, or music. They typically support senior engineers or data scientists by preparing datasets, running experiments, and evaluating model outputs. Their role may also include troubleshooting issues, optimizing model performance, and staying updated with the latest advancements in AI. This position is ideal for individuals starting their careers in AI and interested in hands-on experience with generative models.

What are some common challenges faced by a Generative AI Junior, and how can they be overcome?

As a Generative AI Junior, you may encounter challenges such as staying updated with rapidly evolving AI technologies, understanding complex machine learning frameworks, and managing the quality of generated outputs. Overcoming these hurdles often involves continuous learning through online courses and mentorship, actively participating in code reviews, and collaborating closely with senior AI engineers and data scientists. Building a habit of documenting your experiments and results can also help you track progress and learn from setbacks.

Can I get an AI job with no experience?

Entry-level Generative AI Junior roles often require some foundational knowledge of AI concepts, programming skills in languages like Python, and familiarity with machine learning tools. While prior experience is beneficial, candidates can improve their chances by completing relevant online courses, building projects, and gaining hands-on experience through internships or certifications. Employers may consider motivated learners with strong problem-solving skills and a willingness to learn on the job.

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

To thrive as a Generative AI Junior, you need a solid understanding of machine learning fundamentals, basic programming skills (especially in Python), and a relevant degree in computer science or a related field. Familiarity with AI frameworks like TensorFlow or PyTorch, and experience using version control systems such as Git, are typically expected. Strong problem-solving abilities, eagerness to learn, and effective teamwork are crucial soft skills in this role. These competencies are vital for effectively supporting AI projects, adapting to rapidly evolving technologies, and collaborating within multidisciplinary teams.

What is the difference between Generative Ai Junior vs Data Scientist?

AspectGenerative Ai JuniorData Scientist
Required CredentialsBachelor's in CS, AI, or related field; basic understanding of MLBachelor's or higher in CS, Data Science, or related; advanced ML knowledge
Work EnvironmentTech companies, AI startups, R&D teamsData-driven organizations, tech firms, consulting
Employer & Industry UsageAI development, research projects, product teamsData analysis, predictive modeling, business insights

Generative Ai Junior roles focus on assisting in developing AI models that generate content, requiring foundational AI knowledge. Data Scientists analyze data and build models for insights. While both work in AI and data fields, Generative Ai Juniors typically have less experience and focus on generative models, whereas Data Scientists handle broader data analysis and modeling tasks.

Which 3 jobs will survive AI?

Generative AI Junior roles are likely to persist in fields requiring creativity, complex problem-solving, and human interaction, such as healthcare, education, and specialized technical support. These jobs demand emotional intelligence, critical thinking, and adaptability that AI currently cannot fully replicate. Skills in AI tools, continuous learning, and domain expertise will enhance job security in these areas.

Is generative AI a good career?

A career as a Generative AI Junior involves working with machine learning models to create content such as text, images, or audio. It requires skills in programming, data analysis, and understanding AI frameworks like TensorFlow or PyTorch. The field offers growth opportunities due to increasing demand for AI applications across industries.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as senior AI researcher, machine learning director, or AI executive, often involving advanced skills in deep learning, data analysis, and programming. These roles usually require extensive experience, specialized knowledge, and may include leadership responsibilities or equity compensation. Such salaries are rare and generally found in large tech companies or startups with significant AI investments.
More about Generative Ai Junior jobs
What cities are hiring for Generative Ai Junior jobs? Cities with the most Generative Ai Junior job openings:
What are the most commonly searched types of Generative Ai jobs? The most popular types of Generative Ai jobs are:
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What job categories do people searching Generative Ai Junior jobs look for? The top searched job categories for Generative Ai Junior jobs are:
Generative Ai Junior jobs near you
Infographic showing various Generative Ai Junior job openings in the United States as of July 2026, with employment types broken down into 75% Full Time, 22% Part Time, and 3% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $56,068 per year, or $27 per hour.
AI Architect

AI Architect

Virtusa

New York, NY • On-site

Full-time

Posted 6 days ago

New

Job description

Years of Experience 10-15 Years

Job Summary We are seeking a highly skilled AI/ML Engineer with extensive knowledge in Generative AI (Gen AI) and Multi-Agent Large Language Models (LLMs). The ideal candidate will have a proven track record in developing and implementing advanced AI solutions that leverage agentic capabilities to drive innovation and efficiency. This role requires a deep understanding of AI technologies and the ability to work collaboratively in a fast-paced environment.

Responsibilities

  • Design, develop, and deploy AI/ML models focusing on Generative AI and Multi-Agent systems.
  • Collaborate with cross-functional teams to identify and prioritize AI opportunities that align with business objectives.
  • Conduct research and stay updated on the latest advancements in AI technologies, particularly in Gen AI and LLMs.
  • Implement best practices for model training, evaluation, and optimization.
  • Mentor junior engineers and contribute to the development of a strong AI/ML engineering team.
  • Communicate complex technical concepts to non-technical stakeholders effectively.

Mandatory Skills

  • Strong expertise in Generative AI and Multi-Agent LLMs.
  • Proficiency in programming languages such as Python, Java, or similar.
  • Experience with AI frameworks and libraries (e.g., TensorFlow, PyTorch).
  • Solid understanding of machine learning algorithms and data structures.
  • Ability to work with large datasets and cloud-based AI solutions.

Preferred Skills

  • Experience in deploying AI solutions in production environments.
  • Familiarity with natural language processing (NLP) techniques.
  • Knowledge of ethical AI practices and frameworks.
  • Experience with Agile methodologies and project management tools.

Qualifications

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • 10-15 years of experience in AI/ML engineering, with a focus on Generative AI.
  • Strong problem-solving skills and a passion for innovation in AI technologies.
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About Virtusa

Sourced by ZipRecruiter

We are builders, makers, and doers with the technical skills and domain expertise to transform your business at scale and speed without disruption. Our unique Engineering First approach blends deep industry expertise and empowered, agile teams, to create holistic solutions that seamlessly move the business forward. We help clients engage with new technology paradigms to creatively build solutions that drive them to the forefront of their industries.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Westborough, MA, US

Year founded

1996

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