LLM Engineer

Job Description:

Role Overview:

We are looking for a highly skilled LLM Engineer to design and develop a GenAI-based solution for automating the migration of RPA BOTs from UiPath/Automation Anywhere to ServiceNow RPA. The ideal candidate will be responsible for fine-tuning large language models (LLMs) and creating a system capable of interpreting and converting source XML files into ServiceNow RPA-compatible XML files. This role requires a strong understanding of LLM algorithms, RPA systems, and automation workflows.

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Key Responsibilities:

• Research, select, and fine-tune appropriate LLM algorithms to support XML-to-XML conversion for RPA migration.

• Develop and train LLMs using curated training data provided by the RPA development team.

• Design a robust pipeline for parsing source XML files and generating ServiceNow RPA-compatible XML outputs.

• Incorporate validation mechanisms within the LLM to ensure the correctness of converted BOTs.

• Work closely with RPA developers to iterate on feedback loops and improve the model's accuracy and reliability.

• Develop a mechanism for validating the LLM-converted BOTs and generating corrective feedback for further refinement.

• Optimize the solution for scalability and maintainability in enterprise environments.

• Document processes, methodologies, and performance metrics to ensure traceability and knowledge transfer.

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Required Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.

• Strong experience in building and fine-tuning LLMs using frameworks like HuggingFace.

• Familiarity with parsing and processing XML files programmatically.

• Proficiency in Python or other programming languages relevant for machine learning and data manipulation.

• Strong problem-solving skills with the ability to work in cross-functional teams.

• Excellent communication and documentation skills.

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Preferred Skills:

• Experience with RPA platforms like UiPath, Automation Anywhere, or ServiceNow RPA is a plus.

• Knowledge of ServiceNow RPA architecture and components.

• Hands-on experience in building automated conversion tools.

• Familiarity with version control systems like Git and DevOps workflows.

• Knowledge of prompt engineering and retrieval-augmented generation (RAG) techniques.