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Entry Level Prompt Engineer Jobs in Fremont, CA (NOW HIRING)

Its robots are engineered to perform a variety of tasks in the home and commercial markets. Figure ... This role is a blend of robot operator duties along with entry-level robot repair. This is a ...

... programming to help them achieve "full economic mobility." Born out of the civil rights movement in ... entry-level positions. This position is scheduled for Monday - Friday morning and/or evenings ...

... programming to help them achieve "full economic mobility." Born out of the civil rights movement in ... entry-level positions. This position is scheduled for Monday - Friday morning and/or evenings ...

... programming to help them achieve "full economic mobility." Born out of the civil rights movement in ... entry-level positions. This position is scheduled for Monday - Friday morning and/or evenings ...

Entry Level Prompt Engineer information

See Fremont, CA salary details

$32.8K

$75.9K

$129.2K

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

As of Sep 4, 2026, the average yearly pay for entry level prompt engineer in Fremont, CA is $75,928.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,400.00 and $85,900.00 per year, depending on experience, location, and employer.

What is an entry level prompt engineer?

An Entry Level Prompt Engineer is responsible for designing, testing, and refining prompts to improve the performance of AI language models. They work with machine learning engineers and data scientists to optimize outputs for accuracy, clarity, and efficiency. This role requires strong analytical thinking, creativity, and an understanding of how AI models interpret language. Basic programming skills and familiarity with AI tools can be beneficial, though not always required. It is a great starting point for those interested in AI and natural language processing.

What are some typical projects or tasks an entry level prompt engineer might work on during their first year?

As an Entry Level Prompt Engineer, you will likely assist in designing, testing, and optimizing prompts for generative AI systems used in various applications, such as customer support, content creation, and data analysis. Your daily responsibilities may include analyzing prompt outcomes, debugging prompt-related issues, and collaborating with engineers and product managers to align AI outputs with business objectives. You'll often participate in user feedback sessions and help document prompt behaviors and recommended best practices. This hands-on experience will deepen your understanding of AI behavior and prepare you for more complex prompt engineering tasks as you advance in your career.

What are the key skills and qualifications needed to thrive in the entry level prompt engineer position, and why are they important?

To excel as an Entry Level Prompt Engineer, you need a solid understanding of language models, natural language processing, and basic programming skills, usually supported by a degree in computer science or a related field. Familiarity with platforms like OpenAI's GPT, prompt engineering tools, and version control systems such as Git is often required. Strong analytical thinking, creativity, and clear written communication help you craft and refine effective prompts and collaborate with technical teams. These combined skills and qualities ensure you can design prompts that reliably generate accurate, relevant outputs and contribute to continuous AI improvement.

Are entry level prompt engineers still in demand?

Entry level prompt engineers are increasingly in demand as organizations adopt AI and natural language processing technologies. Skills in designing effective prompts and understanding AI models are valuable, and demand is expected to grow with the expansion of AI applications across industries.

Can you get a job as an entry level prompt engineer?

Entry level prompt engineers typically need strong communication skills, basic understanding of AI and natural language processing, and familiarity with tools like language models. Relevant coursework, certifications, or experience with AI platforms can improve job prospects. Many roles are available for those starting in AI-related fields with a focus on prompt design and optimization.

How to start a career as an entry level prompt engineer?

To start a career as an entry level prompt engineer, develop skills in natural language processing, machine learning, and AI tools such as OpenAI's GPT models. Gain experience through online courses, tutorials, and building a portfolio of prompt design projects. Familiarity with programming languages like Python and understanding of AI ethics can also be beneficial.

What cities near Fremont, CA are hiring for Entry Level Prompt Engineer jobs?

Cities near Fremont, CA with the most Entry Level Prompt Engineer job openings:

Infographic showing various Entry Level Prompt Engineer job openings in Fremont, CA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 33% In-person, and 67% Remote job distribution, with an average salary of $75,928 per year, or $36.5 per hour.

Software Engineer - Entry Level

Tata Consultancy Services

Santa Clara, CA • On-site

Full-time

Re-posted 14 days ago


Tata Consultancy Services rating

6.5

Company rating: 6.5 out of 10

Based on 21 frontline employees who took The Breakroom Quiz

176th of 226 rated it services


Job description

At TCS, we are at the forefront of innovation, building next-generation solutions that redefine our industry. We believe in the transformative power of artificial intelligence and are looking for bright, ambitious graduates to join our team. This is an exciting opportunity to launch your career, learn from seasoned professionals, and work with the most advanced AI technologies on the market.

Job Summary

We are seeking a motivated and curious Software Engineer who is a recent or upcoming graduate passionate about the potential of Generative AI. This is a unique entry-level opportunity to blend your academic knowledge of computer science with hands-on experience in prompt engineering and AI-assisted development. You will join a collaborative team, receive mentorship from senior engineers, and contribute to building real-world products by leveraging cutting-edge Large Language Models (LLMs) and cloud platforms. If you are eager to learn and grow in the rapidly evolving field of AI, this role is for you.

Key Responsibilities

  • Contribute to AI-Powered Features: Write, test, and debug high-quality code for new features under the guidance of senior engineers.
  • Learn Prompt Engineering: Assist the team in designing, testing, and refining prompts to interact with LLMs (like GPT-4, Claude, etc.) for tasks like code generation and problem-solving.
  • Utilize GenAI Tools: Learn to effectively use AI coding assistants (e.g., GitHub Copilot, Amazon CodeWhisperer) to enhance your productivity and learn best practices.
  • Collaborate and Learn: Work closely with product, design, and engineering teams to understand requirements and contribute to technical solutions.
  • Problem Solving: Apply your knowledge of data structures and algorithms to help solve complex challenges in a supportive team environment.
  • Cloud Exposure: Gain hands-on experience deploying and monitoring applications on modern cloud platforms like AWS and Azure.
  • Continuous Growth: Stay curious and actively learn about the latest trends, tools, and techniques in Generative AI and software development.

Required Qualifications & Skills

  • Education: Bachelor’s or Master's in degree in Computer Science, Engineering, a related technical field, or equivalent practical experience.
  • Programming Foundation: Solid understanding of at least one programming language, with a preference for Python, Java, Go, or TypeScript, demonstrated through coursework and projects.
  • Software Fundamentals: Strong grasp of core computer science concepts, including data structures, algorithms, and object-oriented design.
  • Passion for AI: A strong, demonstrable interest in Generative AI and prompt engineering, evidenced by personal projects, coursework, research, or a portfolio.
  • Eagerness to Learn: A proactive and enthusiastic attitude towards learning new technologies and tackling unfamiliar challenges.
  • Cloud Concepts: Basic familiarity with cloud computing concepts (what are AWS and Azure and what services they provide).

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