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Generative Ai Junior Jobs (NOW HIRING)

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 ...

Provide guidance and mentorship to junior data engineers. * Review dataset implementations ... Exposure in Vertex AI, GCP AI/ML services (AutoML, BigQuery ML, Cloud Run, etc.) or a similar cloud ...

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Generative Ai Junior information

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How much do generative ai junior jobs pay per hour?

As of Jun 10, 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.

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.

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Infographic showing various Generative Ai Junior job openings in the United States as of June 2026, with employment types broken down into 97% Full Time, 2% Part Time, and 1% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $56,068 per year, or $27 per hour.

Python Developer (Generative AI)

Purple Drive Technologies

Phoenix, AZ โ€ข On-site

$50 - $68.75/hr

Full-time

Posted 14 days ago


Job description

Overview:
Relevant Experience: 5+ Years
Mandatory Skills: Python, Gen AI, Machine Learning, LLM
Responsibilities:
  • Design, develop, test, and deploy high-performance Generative AI-enabled capabilities.
  • Build internal frameworks to facilitate integration of Generative AI with enterprise capabilities.
  • Collaborate closely with engineers and scientists on strategy and roadmap.
  • Keep up with AI advancements and test new ideas
  • Drive system architecture, implement best practices, and mentor junior engineers.
  • Engage in research activities and author scholarly papers for publication

Basic Qualifications:
  • Proven, strong Python skills are a must. Open-source contributors preferred.
  • Experience in design/architecture of systems.
  • Full software development lifecycle experience.
  • Skilled in deploying and scaling products in public cloud.
  • Knowledge of Generative AI and Large Language Model inference.
  • Knowledge of AI tools and frameworks, such as Langchain, LlamaIndex, Semantic Kernel, etc.
  • Passion for cutting edge technologies and excitement to be part of a Research & Development team.