Job Title

We're looking for AI researcher — someone who's spent time in the weeds of large language models and wants to apply that knowledge to a real production system solving real enterprise problems.At BizNeuro AI, we build patented on-premise agentic AI for enterprise fraud prevention. Our agentic AI platform runs LLMs, SLMs, and ML models entirely within the client's infrastructure — which means the research challenges here are fundamentally different from standard cloud LLM work. You'll be working on inference efficiency, hallucination control, fine-tuning, and multi-agent orchestration in a production-grade, privacy-first environment.If you want to publish, learn fast, and see your research ship in a live enterprise product — this is for you.ABOUT BIZNEURO AIBizNeuro AI is an enterprise agentic AI company building explainable, on-premise fraud prevention technology for BFSI and e-commerce enterprises. Our patented agentic AI platform runs ML models, Small Language Models (SLMs), and locally hosted Large Language Models entirely within the client's data boundary, ensuring 100% compliance, zero cloud exposure, and full audit transparency.Our Solutions:• DocNeuro — AI-powered document & image forgery detection system• MerchantNeuro — 360° merchant reputation & risk intelligence system• EdgeNeuro — On-prem/VPC agentic AI platform with agentic routing & hallucination controlFounded by Dr. Manish Gupta | PhD, Machine Learning — IIT Delhi | 4 US Patents | 14 Research Papers | 700+ Citations | One of India's Top 10 Data Scientists | NVIDIA's CEO Recognition, GTC 2020ROLE OVERVIEWWe are looking for a highly motivated AI Research Intern with a strong background in large language models, model optimization, and applied NLP research. The intern will work directly with the founding team on research challenges central to BizNeuro AI's EdgeNeuro platform — including on-prem LLM deployment, quantization, fine-tuning for domain-specific tasks, hallucination mitigation, and agentic AI orchestration.This is a high-ownership, research-first role. Work produced during the internship may be published, patented, or deployed directly into production.RESEARCH AREAS & RESPONSIBILITIES1. LLM Quantization & Inference Optimization: Research and implement inference optimization strategies2. Fine-Tuning & Domain Adaptation: Fine-tune open-source LLMs on BFSI-specific and document intelligence datasets. Implement PEFT techniques for compute-efficient adaptation3. Hallucination Control & Output Reliability: Research and implement hallucination detection, mitigation, and monitoring frameworks for production LLM pipelines4. Agentic AI & RAG Architectures: Research and implement RAG architectures for document-grounded fraud reasoning and explainability5. Multimodal & Document AI (Desirable): Explore vision-language models (VLMs) for document forensics tasksELIGIBILITY & REQUIRED SKILLSAcademic Background• Final-year or pre-final-year B.Tech / M.Tech / MS / PhD in Computer Science, AI/ML, Data Science, or equivalent• Candidates from IITs, NITs, IIITs, or equivalent institutions preferredTechnical Skills (Required)• Strong foundations in machine learning, deep learning, and natural language processing• Hands-on experience with agentic AI frameworks• Proficiency with HuggingFace ecosystem (Transformers, PEFT, Datasets, Evaluate, Accelerate)• Demonstrated practical experience with LLMs — at least one of: fine-tuning, quantization, RAG, evaluation, or prompting pipelines• Comfortable reading, understanding, and implementing from research papers• Strong Python programming and software engineering fundamentalsResearch Orientation• Ability to independently scope, execute, and document research experiments• Intellectually curious with a bias for rigour and reproducibility• Proactive and self-directed — able to work with minimal supervisionWHAT WE OFFER• Direct mentorship from Dr. Manish Gupta (PhD IIT Delhi · One of India's Top 10 Data Scientists · 4 US Patents · 700+ Research Citations)• Opportunity to co-author research publications, technical reports, or patent filings• Real production impact — work ships into a live enterprise AI platform• Exposure to the complete agentic AI stack: research → fine-tuning → evaluation → deployment• Letter of Recommendation based on performance• Pre-Placement Offer (PPO) consideration for exceptional performers• Access to enterprise-grade GPU compute for research experimentsHOW TO APPLYEmail: Subject: AI Research Intern — [Your Name] — [Institute] — [Graduation Year]Please include:Updated CV / ResumeGitHub profile or portfolio linkGoogle Scholar / research profile (if applicable)Brief note (200–300 words) describing your most relevant LLM research project or experiment