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Generative Ai Junior Jobs (NOW HIRING)

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 ...

Virtusa

AI Architect

New York, NY

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.

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 ...

Virtusa

AI Architect

New York, NY

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.

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 ...

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Generative Ai Junior information

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How much do generative ai junior jobs pay per hour?

As of Jul 16, 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.
Junior AI Engineer - Co-op

Junior AI Engineer - Co-op

Rialto Capital

Miami, FL • On-site

Full-time

Posted 14 days ago

Job description

KEY RESPONSIBILITIES:
  • 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 streamline development.
  • Software Integration & Deployment:
    Collaborate with cross-functional teams to integrate AI-powered features into existing platforms and tools. Contribute to the deployment of these applications in production environments, ensuring performance and scalability.
  • Data Handling & Preprocessing:
    Support data-related tasks-such as ingestion, cleaning, and organization-to ensure that LLM-powered applications have the right data at the right time.
  • Prototype & Experimentation:
    Participate in rapid prototyping of new generative AI features, running experiments and analyzing performance metrics to guide iterative improvements.
  • Collaboration & Communication:
    Work alongside IT, Product, and Data Analytics teams to gather requirements, troubleshoot issues, and effectively communicate technical solutions to both technical and non-technical stakeholders.

SPECIFICATIONS:
  • Open to Undergraduate and Graduate students preferred:
    Majors in Computer Science / Engineering or related fields.
  • Programming Fundamentals:
    Proficiency in Python (or similar) and experience with frameworks like LangChain, TensorFlow, or PyTorch.
  • Application & API Development:
    Familiarity with RESTful APIs, microservices architecture, and deployment tools. Experience with frontend frameworks (React, Vue) is a plus.
  • Cloud & DevOps Exposure:
    Basic understanding of cloud platforms (Azure, AWS, or GCP), containerization (Docker), and CI/CD pipelines.
  • Data Proficiency:
    Working knowledge of SQL or other data query languages. Experience with data wrangling and version control (Git) is helpful.
  • Generative AI Interest:
    Demonstrated curiosity about or experience with LLMs, prompt engineering, or other generative AI techniques. Experience with LangChain is a strong plus.
  • Detail-Oriented:
    Exhibits precision when developing and testing AI-driven applications.
  • Team-Focused & Collaborative:
    Enjoys working in a cross-functional environment and learning from senior engineers.
  • Adaptable & Innovative:
    Embraces new challenges in a fast-evolving AI landscape, proposing creative solutions and improvements.
  • Positive Attitude & Enthusiasm:
    Approaches tasks with energy, resilience, and a desire to learn.
  • Strong Interest in Real Estate & Alternative Investments (Preferred):
    Not required, but helpful for understanding the business context of AI solutions at Rialto.

While performing the duties of this job, the Associate is occasionally required to stand; walk; sit; use hands to finger, handle, or feel objects, tools or controls; reach with hands and arms; climb stairs; balance; stoop. The Associate must occasionally lift and/or move up to 25 pounds. Evening or weekend work may be necessary to meet deadlines.
This description outlines the basic tasks and requirements for the position noted. It is not a comprehensive listing of all job duties.
Rialto Capital is committed to the principles of Equal Employment Opportunity. Our policy is to provide equal employment opportunity to all applicants and Associates without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity or expression, national origin, age (40+), disability, veteran status, genetic information (including family medical history), or any other legally protected status.
Our company uses E-Verify to confirm the employment eligibility of all newly hired employees.
To learn more about E-Verify, including your rights and responsibilities please visit: e-verify.gov.

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