Llm engineer

1 day ago

Delhi, India Ampstek Full time
Job Description:
Role Overview:
We are looking for a highly skilled LLM Engineer to design and develop a Gen AI-based solution for automating the migration of RPA BOTs from Ui Path/Automation Anywhere to Service Now 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 Service Now 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 Service Now 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.
________________________________________
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 Hugging Face.
• 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 Ui Path, Automation Anywhere, or Service Now RPA is a plus.
• Knowledge of Service Now RPA architecture and components.
• Hands-on experience in building automated conversion tools.
• Familiarity with version control systems like Git and Dev Ops workflows.
• Knowledge of prompt engineering and retrieval-augmented generation (RAG) techniques.

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