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Generative Ai Junior Jobs (NOW HIRING)

ITR Group

Junior AI Engineer

Minneapolis, MN · On-site

Opportunity available for Junior AI Engineer to join a growing AI team and help build enterprise ... Develop and support Generative AI applications using Azure AI services and OpenAI models. * Assist ...

Vagaro

Jr. AI Engineer

Pleasanton, CA · On-site

They are seeking a Junior AI Engineer to conduct research and develop generative AI-driven features, utilizing machine learning and AI methodologies to enhance product functionality. Responsibilities ...

Perfict

Junior AI Engineer

Woburn, MA · On-site

Job Summary : Perfict is seeking a Junior AI Engineer with strong Python skills and a solid understanding of Machine Learning, NLP, Generative AI, and Large Language Models (LLMs). The ideal ...

Saransh Inc

Junior Gen AI Engineer

Santa Clara, CA · On-site

Role: Junior GenAI Engineer Location: Santa Clara, CA (Onsite from Day 1) Job Type: Contract ... Implement and manipulate complex algorithms essential for developing and optimizing generative AI ...

VOLT

Junior AI/ML Engineer

San Diego, CA · On-site

$48/hr

As a Junior AI/ML Engineer, you will assist with ... Prototype and deliver generative AI and ML features that speed up engineering workflows and further ...

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How much do generative ai junior jobs pay per hour?

As of Jul 11, 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.
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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.
Senior Software Engineer - Generative AI

Senior Software Engineer - Generative AI

C3 AI

Redwood City, CA

$150K - $197K/yr

Other

Posted 3 days ago

New

Job description

We are looking for a seasoned software engineer experienced in the field of machine learning and artificial intelligence, and passionate about Generative AI technology and building next-generation software platforms.

As a member of C3 AI's Generative AI team, you will be tasked with developing the infrastructure and tools to improve the state-of-the-art and enable the use of this game changing technology in our enterprise applications. You'll collaborate with product managers, data scientists and other engineers and be responsible for the entire software engineering lifecycle. A successful candidate will thrive in a fast-paced, innovative, and highly collaborative environment, and demonstrate an ability to execute precisely and quickly. The ideal candidate will have in-depth experience with putting large scale machine learning models in production and a solid understanding of Large Language Models (LLMs).

Responsibilities:

  • Build systems and tools to enable and simplify the use of Generative AI technologies in our applications using the C3 AI Platform.
  • Enable scalable end-to-end machine learning pipelines in a distributed system with heterogeneous hardware (GPUs, TPUs, etc.).
  • Work with data scientists to research and implement latest approaches to efficiently train/fine-tune Generative Models.
  • Work with product owners to define and lead the long-term development the C3 Generative AI Suite.
  • Mentor junior members of the team.

Qualifications:

  • Bachelor's degree in Computer Science, Computer Engineering, or related fields, MS preferred.
  • Excellent programming skills in Python; experience with Java and JavaScript preferred.
  • Thorough knowledge of data structures, algorithms, profiling/optimization, DRY code, and Object-Oriented and Functional Programming.
  • In-depth understanding of machine learning including deep learning algorithms.
  • Track record of applying machine learning algorithms in a production system.
  • Demonstrated end-to-end ownership of projects.
  • Stellar listening and explanation skills.
  • Demonstrated interest for Generative AI technology (e.g., projects with technologies like LangChain, Semantic Kernel, ChatGPT Plugins, etc.).
  • A minimum of 3 years of work experience in a fast-paced software company.

Preferred Qualifications:

  • Advanced degree in computer science, math, or similar quantitative field.
  • Knowledge of Agile development methodology.
  • 5+ years of work experience in a fast-paced software company.

Apply