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Entry Level Rpa Developer Jobs in California (NOW HIRING)

Merican

RMS Engineer

Anaheim, CA · On-site

Job Title: RMS Engineer End Client Location: Anaheim, CA 92805 Employment Type: FTE Key Skills ... Fault Tree Analysis (FTA) * RPA * Failure Mode and Effects Analysis (FMEA) * CMA

Merican Inc

RMS Engineer

Anaheim, CA

Job Title: RMS Engineer End Client Location: Anaheim, CA 92805 Employment Type: FTE Key Skills ... Fault Tree Analysis (FTA) * RPA * Failure Mode and Effects Analysis (FMEA) * CMA

Automation Anywhere

Pricing Analyst

San Jose, CA · On-site

Company Description Automation Anywhere is the leader in Robotic Process Automation (RPA), the platform on which more organizations build world-class Intelligent Digital Workforces. Automation ...

Automation Anywhere

Pricing Analyst

San Jose, CA · On-site

Company Description Automation Anywhere is the leader in Robotic Process Automation (RPA), the platform on which more organizations build world-class Intelligent Digital Workforces. Automation ...

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Entry Level Rpa Developer information

See California salary details

$29.1K

$99K

$238.3K

How much do entry level rpa developer jobs pay per year?

As of May 30, 2026, the average yearly pay for entry level rpa developer in California is $98,952.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,700.00 and $104,600.00 per year, depending on experience, location, and employer.

What is an Entry Level RPA Developer job?

An Entry Level RPA Developer is responsible for designing, developing, and implementing robotic process automation (RPA) solutions using tools like UiPath, Automation Anywhere, or Blue Prism. They work with business analysts and stakeholders to understand processes and automate repetitive tasks, improving efficiency and accuracy. Typically, they write scripts, test automation workflows, and troubleshoot issues. This role requires basic programming knowledge, logical thinking, and familiarity with RPA tools. It is an excellent starting point for those looking to build a career in automation and process optimization.

What are the key skills and qualifications needed to thrive in the Entry Level Rpa Developer position, and why are they important?

To thrive as an Entry Level RPA Developer, you need foundational programming skills (such as Python, .NET, or Java), logical thinking, and a bachelor's degree in computer science or a related field. Familiarity with RPA platforms like UiPath, Automation Anywhere, or Blue Prism, and optional certifications in these tools, are often required. Strong problem-solving abilities, keen attention to detail, and effective communication skills help you excel in collaborating with teams and understanding business processes. These competencies are essential for developing efficient automation solutions and ensuring smooth project delivery in a technology-driven workplace.

What are the typical projects and responsibilities for an Entry Level RPA Developer?

As an Entry Level RPA Developer, you’ll usually work on automating routine business processes using RPA tools under the guidance of senior developers or process analysts. Your daily tasks might include designing, developing, testing, and deploying RPA bots, troubleshooting workflow issues, and documenting solutions. You’ll often collaborate with business stakeholders to understand their processes and ensure the automation meets their needs. This hands-on experience helps you build technical expertise and positions you for advancement to more complex projects and leadership roles over time.
More about Entry Level Rpa Developer jobs
What are the most commonly searched types of Rpa Developer jobs in California? The most popular types of Rpa Developer jobs in California are:
What are popular job titles related to Entry Level Rpa Developer jobs in California? For Entry Level Rpa Developer jobs in California, the most frequently searched job titles are:
What job categories do people searching Entry Level Rpa Developer jobs in California look for? The top searched job categories for Entry Level Rpa Developer jobs in California are:
What cities in California are hiring for Entry Level Rpa Developer jobs? Cities in California with the most Entry Level Rpa Developer job openings:
Entry Level Rpa Developer jobs near you
Infographic showing various Entry Level Rpa Developer job openings in California as of May 2026, with employment types broken down into 1% As Needed, 78% Full Time, 18% Part Time, and 3% Contract. Highlights an 100% Physical job distribution, with an average salary of $98,952 per year, or $47.6 per hour.
Generative AI Automation Engineer - Remote Job

Generative AI Automation Engineer - Remote Job

EnthuZiastic

San Luis Obispo, CA • Remote

Other

Posted 8 days ago

Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

​

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.

Apply