RPA Developer - UiPath/Automation Anywhere (4-9 yrs)

Job Description :

The RPA Developer will support the RPA team in the implementation of best practices for RPA development, technical design and development of process automation, monitoring and support of operational robots, and work with customers to help automate their manual processes.

Other technology and organizational duties as assigned. The RPA Developer will require hands-on experience with the list of technologies below in an enterprise environment.

Key Responsibilities :

- Analyze and reverse-engineer source RPA BOTs developed in UiPath/Automation Anywhere.

- Identify functional components and map them to equivalent ServiceNow RPA components.

- Design and implement conversion logic for transforming source XML files into ServiceNow RPA-compatible XML Work with LLM Engineer to incorporate this as a part of LLM Training.

- Collaborate with the LLM Engineer to curate and create training datasets for fine-tuning LLM algorithms.

- Validate the accuracy of LLM-converted BOTs and provide feedback for iterative improvements.

- Develop scripts or utilities to automate parts of the XML transformation process.

- Maintain detailed documentation of conversion logic, RPA components, and training datasets.

- Troubleshoot and resolve issues during migration and validation processes.

Required Qualifications :

- Bachelor's degree in Computer Science, Information Technology, or a related field.

- Hands-on experience with RPA platforms, especially UiPath, Automation Anywhere, and ServiceNow RPA.

- Strong expertise in XML parsing, modification, and validation.

- Proficiency in programming languages such as Javascript Python, Java, or C#.

- Familiarity with automation workflows and RPA design principles.

- Excellent problem-solving skills and attention to detail.

Preferred Skills :

- Experience in migrating RPA BOTs across platforms.

- Experience with generating structured datasets for machine learning applications.

- Knowledge of ServiceNow RPA architecture and XML schema.

- Familiarity with machine learning concepts and collaborative development with AI teams.

- Strong understanding of version control systems and DevOps practices.