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Entry Level Generative Ai Prompt Engineer Jobs in Reseda, CA

As a Prompt Engineer, you will be a key member of our AI development team, responsible for designing and developing high-quality prompts that drive our AI models and algorithms. Your expertise in ...

Responsibilities : • Design, develop, and deploy Generative AI solutions for client use cases ... AI solutions or products • Understanding of model training, fine-tuning, prompt engineering, and ...

Generative image and video workflows * Photoshop, Premiere, Nuke, After Effects, or Fusion * AI-assisted storytelling, visual development, or media production * Engineering Technology, construction ...

AI Artist

Los Angeles, CA · On-site

$100K - $160K/yr

Our teams bring together artists, engineers, designers and producers to create visionary work using ... You'll work with image and video generative AI tools, node-based workflows and more conventional ...

AI Artist

Los Angeles, CA · On-site

$100K - $160K/yr

Our teams bring together artists, engineers, designers and producers to create visionary work using ... You'll work with image and video generative AI tools, node-based workflows and more conventional ...

Devops Enigneer/Devops运维

Los Angeles, CA · On-site

$56.75 - $77.75/hr

Deploy, maintain, and optimize containerized AI applications such as ComfyUI and other Generative ... (SRE), or Infrastructure Engineering. Languages * Fluent in Mandarin (spoken and written)

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Entry Level Generative Ai Prompt Engineer information

See Reseda, CA salary details

$32.2K

$74.6K

$126.8K

How much do entry level generative ai prompt engineer jobs pay per year?

As of Aug 23, 2026, the average yearly pay for entry level generative ai prompt engineer in Reseda, CA is $74,552.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,400.00 and $84,400.00 per year, depending on experience, location, and employer.

What is an entry level generative AI prompt engineer?

Entry Level Generative AI Prompt Engineers are professionals who design, test, and refine prompts to interact with generative AI models, such as those used in chatbots or content creation tools. Their role involves understanding how AI responds to different inputs, troubleshooting issues, and optimizing prompts for accuracy and relevance. They typically collaborate with developers, data scientists, and content teams to improve AI outputs for various applications. This entry-level position is ideal for those with basic programming knowledge, strong communication skills, and an interest in artificial intelligence.

What are the key skills and qualifications needed to thrive as an entry level generative AI prompt engineer?

To thrive as an Entry Level Generative AI Prompt Engineer, you need a foundational understanding of natural language processing, basic programming skills (often in Python), and familiarity with AI concepts, typically supported by a relevant degree or coursework. Experience with AI platforms like OpenAI, Hugging Face, or Google Cloud AI, as well as prompt design tools, is commonly required. Creativity, analytical thinking, and strong written communication help you craft effective prompts and collaborate with cross-functional teams. These skills are crucial for developing high-quality AI outputs and ensuring solutions align with user needs and project goals.

What are some common challenges faced by entry level generative AI prompt engineers, and how can they overcome them?

Entry-level generative AI prompt engineers often encounter challenges such as crafting effective prompts that yield reliable outputs, staying current with rapidly evolving AI models, and interpreting ambiguous model responses. Overcoming these challenges requires continuous learning, experimentation, and collaboration with more experienced engineers or data scientists. Participating in team discussions, reviewing prompt libraries, and regularly testing prompts with different models can help newcomers build their expertise and confidence in the role.

What is the difference between Entry Level Generative Ai Prompt Engineer vs Entry Level Data Scientist?

AspectEntry Level Generative Ai Prompt EngineerEntry Level Data Scientist
Required CredentialsBachelor's in CS, AI, or related; basic understanding of AI modelsBachelor's in CS, Statistics, or related; knowledge of data analysis
Work EnvironmentAI labs, tech companies, startupsData analysis teams, research institutions, tech firms
Industry UsageAI development, NLP, chatbot creationData analysis, predictive modeling, research

While both roles require a foundational understanding of technology and data, Entry Level Generative Ai Prompt Engineers focus on designing prompts for AI models, especially in NLP, whereas Entry Level Data Scientists analyze data to derive insights. The roles overlap in technical skills but differ in application and focus areas.

What are popular job titles related to Entry Level Generative Ai Prompt Engineer jobs in Reseda, CA?

For Entry Level Generative Ai Prompt Engineer jobs in Reseda, CA, the most frequently searched job titles are:

What cities near Reseda, CA are hiring for Entry Level Generative Ai Prompt Engineer jobs?

Cities near Reseda, CA with the most Entry Level Generative Ai Prompt Engineer job openings:

Infographic showing various Entry Level Generative Ai Prompt Engineer job openings in Reseda, CA as of August 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $74,552 per year, or $35.8 per hour.

Senior AI/ML Engineer - GenAI & Cloud Solutions (Healthcare)

Droisys

Los Angeles, CA • On-site

$59.50 - $76.75/hr

Other

Posted 22 days ago


Job description

Senior AI/ML Engineer – GenAI & Cloud Solutions (Healthcare)Introduction:

We''re looking for an experienced Senior AI/ML Engineer with strong expertise in Generative AI, LLMs, Agentic AI, Cloud Solutions, and Healthcare to join an exciting enterprise AI transformation initiative.

Responsibilities:
  • Develop and implement Generative AI and LLM models using technologies like OpenAI, Azure OpenAI, Lang Chain/Lang Graph.
  • Utilize Agentic AI, MCP, and A2A frameworks to enhance AI capabilities.
  • Collaborate with the team to develop Python-based AI/ML solutions for healthcare applications.
  • Utilize Azure Cloud for deployment and scalability of AI models (Mandate).
  • Work with Vector Databases, RAG, and Prompt Engineering for data processing and analysis.
  • Apply healthcare domain experience to enhance AI solutions in the healthcare sector.
Requirements:

Required Skills:

  • Experience in Generative AI & LLMs (OpenAI, Azure OpenAI, Lang Chain/Lang Graph).
  • Knowledge of Agentic AI, MCP & A2A Frameworks.
  • Proficiency in Python and AI/ML solution development.
  • Hands-on experience with Azure Cloud.
  • Familiarity with Vector Databases, RAG, and Prompt Engineering.

Preferred Skills:

  • Experience in the healthcare domain.