AI Engineer Intern

About Plearun

Plearun is a verification layer for legal reports. It checks each statement in a police, accident or expert report against the records behind it, and links every finding to the exact record it relies on. Nothing is shown as verified unless the quoted text can be found in the source.

About the Role

As an AI Engineer Intern at Plearun, you will work full time in a remote capacity, collaborating closely with the engineering and product teams. This role provides hands-on experience in applying AI to a specialized, high-impact legal technology product.

Key Responsibilities

• Build and test LLM-based features, such as document parsing and retrieval pipelines.
• Write evaluation scripts and measure model output against labelled data.
• Document experiments and hand off working code to the engineering team.
• Design and prototype models that perform pattern recognition and natural language understanding over legal documents and structured data.
• Help build and test neural network architectures.
• Integrate NLP components into our verification pipeline.
• Contribute to software development tasks such as data preprocessing, model evaluation, and deployment support.
• Assist in analyzing real case data, refining algorithms to improve accuracy and reliability.
• Participate in code reviews to maintain high engineering standards.

Requirements & Tech Stack

• Python
• Machine learning basics
• LLM APIs and prompting
• Pandas or SQL
• Git
• NLP or retrieval experience is a plus.

Qualifications

• Strong foundation in Computer Science and Software Development, including data structures, algorithms, and version control.
• Experience or coursework in Pattern Recognition and Neural Networks for practical machine learning or deep learning applications.
• Knowledge of Natural Language Processing (NLP), especially working with text classification, information extraction, or document analysis.
• Proficiency in a programming language commonly used in AI (such as Python) and familiarity with relevant libraries or frameworks (e.g., PyTorch, TensorFlow, scikit-learn).
• Ability to work independently in a remote environment, communicate clearly in writing and in meetings, and collaborate effectively with cross-functional teams.
• Current enrollment in or recent completion of a degree program in Computer Science, Data Science, Electrical Engineering, or a related field.
• Interest in legal technology, data integrity, and responsible AI; prior experience working with structured data (CSV, JSON, tables) is beneficial.
• Strong analytical and problem-solving skills, with attention to detail when working with sensitive or high-stakes information.

Duration: 2 to 3 months

Stipend: Minimum INR 5,000 per month