About Infrrd
Infrrd (pronounced In-fur-d) is an Enterprise AI company that automates document-heavy workflows for customers in mortgage, insurance, and finance. Our Research team works on the next generation of document intelligence: agentic systems that read, reason over, and audit complex documents with outputs that can be trusted and verified. We are looking for a Research Intern to join the team and contribute to experiments that shape what we ship.

About the Role
As a Research Intern, you will work on well-scoped research tasks under the guidance of senior researchers, across areas such as agentic document extraction, LLM-based auditing of mortgage documents, table extraction with calibrated trust scores, and verifiable evaluation of model outputs without ground truth. You will run experiments end to end: preparing and checking data, building prototypes, analysing errors and reasoning traces, and writing up what you found. This is a hands-on role for someone who enjoys rigorous experimentation and wants exposure to real enterprise-scale document AI problems.

Education details:



10+ 2/PUC mandatory (No Diploma), B.E/B.Tech/M.Tech students from all Computer Science related backgrounds with a focus on machine learning, NLP, or computer vision.
Year of Graduation: 2027
Percentage criteria: minimum 60% aggregate and higher throughout academics.
Internship duration: 1 year with an chance to convert to a full-time role based on performance.

What You Will Do
Experimentation and Prototyping: Design and run experiments to validate document processing and agentic extraction approaches; build prototypes and proof-of-concept implementations using LLM and vision-language model APIs.
Evaluation and Verification: Help build evaluation harnesses and verifier checks (cross-field consistency, structural invariants, multi-pass agreement) that measure whether an extraction or audit verdict can be trusted, including when no ground truth is available.
Error and Trace Analysis:

📌 Research Intern (India)
🏢 Infrrd
📍 India