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Junior Rpa Developer Jobs in Massachusetts (NOW HIRING)

Moderna, Inc.

Engineer II, Process Automation

Norwood, MA · On-site

$84K - $134K/yr

Troubleshooting complex issues within our GxP Process Automation Systems, i.e. DeltaV or Allen-Bradley programmable logic controllers. Maintaining and sustaining a culture of compliance both in how ...

DentaQuest

Intelligent Automation Architect

Boston, MA · On-site

Senior UiPath Developer Sun Life is seeking a Senior UiPath Developer to design, build, deploy, and ... Reporting to the Director, Process Automation & Application Delivery, this role owns end-to-end ...

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Junior Rpa Developer information

See Massachusetts salary details

$26.2K

$97.2K

$150.2K

How much do junior rpa developer jobs pay per year?

As of Jul 4, 2026, the average yearly pay for junior rpa developer in Massachusetts is $97,172.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,200.00 and $95,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Junior RPA Developer, and why are they important?

To thrive as a Junior RPA Developer, you need foundational programming knowledge (e.g., Python, .NET, or Java), understanding of process automation concepts, and a relevant degree in computer science or a similar field. Familiarity with RPA platforms like UiPath, Blue Prism, or Automation Anywhere, and certifications in these tools are highly beneficial. Strong problem-solving abilities, attention to detail, and effective communication skills help you collaborate with business teams and troubleshoot automation issues. These competencies are vital for building reliable automation solutions that streamline business processes and drive operational efficiency.

What Does a Junior RPA Developer Do?

Robotic process automation (RPA) uses artificial intelligence or software “robots” to perform automated tasks. Your duties as a junior RPA developer involve working on new or existing automation systems for a company, potentially under the supervision of a more senior employee. You analyze your employer or client’s needs and existing AI systems, and you develop new application programs or modify and improve existing software. You then test the new RPA application and debug it if necessary. Your duties and responsibilities include assisting the IT team with configuration, implementation, and troubleshooting, and you may stick around to help non-technical employees learn to use the software.

What is the difference between Junior Rpa Developer vs Rpa Developer?

AspectJunior Rpa DeveloperRpa Developer
Required CredentialsBasic understanding of RPA tools, entry-level certificationsAdvanced certifications, more experience
Work EnvironmentSupportive, learning-focused teamsProject-driven, independent problem-solving
Employer & Industry UsageEntry-level roles in IT and automation firmsMid-level to senior roles in similar industries

The main difference between a Junior Rpa Developer and an Rpa Developer lies in experience and skill level. Junior Rpa Developers are typically entry-level, focusing on learning and supporting automation projects, while Rpa Developers have more experience, handling complex tasks independently. Both roles require knowledge of RPA tools, but the Rpa Developer usually holds advanced certifications and has a broader skill set.

What are some common challenges faced by Junior RPA Developers during automation projects?

Junior RPA Developers often encounter challenges such as understanding complex business processes, handling exceptions or unexpected scenarios in automation workflows, and ensuring that bots integrate smoothly with existing systems. Additionally, they may need support in optimizing code for efficiency and collaborating effectively with business analysts and IT teams. Regular communication and a willingness to learn new tools and best practices can help overcome these challenges and contribute to the success of automation projects.

What are Junior RPA Developers?

Junior RPA Developers are entry-level professionals who design, develop, and implement robotic process automation (RPA) solutions under supervision. They typically work with RPA tools like UiPath, Blue Prism, or Automation Anywhere to automate repetitive tasks and improve business processes. Their responsibilities may include creating automation scripts, testing automated workflows, documenting processes, and assisting senior developers. Junior RPA Developers often collaborate with business analysts and IT teams to understand requirements and deliver effective automation solutions.
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Junior Rpa Developer jobs near you
Generative AI Automation Engineer - Remote Job

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Babson Park, MA • On-site

Other

Posted 13 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