
LLM Engineer Intern
1 week ago
SETV GLOBAL
Position:
LLM Engineer Intern
Location:
Hybrid
Type:
Internship 3 months unpaid
Working Hours:
5 hrs/day + 1 hr break
Future Path:
Conversion to Paid Part-Time (₹5,000–₹25,000/month) → Full-Time
Company Description
SETV.W, a subsidiary of SETV Global, is pioneering the integration of Artificial Intelligence
and Machine Learning in healthcare. Our mission is to create smarter, faster, and more
accessible healthcare systems worldwide through AI-driven solutions. We are seeking
passionate innovators to join us in building one of India's first cutting-edge Large Language
Model (LLM) applications that will transform clinical workflows and patient care globally.
By joining us, you'll be part of a pioneering team that's shaping the future of clinical AI,
diagnostics, and treatment planning and helping millions of patients globally
Role: LLM Engineer Intern
You'll be part of our core AI innovation team, working on cutting-edge challenges in medical
language intelligence. Expect to experiment, break boundaries, and learn fast.
Key Responsibilities
• Build, fine-tune, and deploy LLMs (GPT, LLaMA, Mistral, Falcon, etc.) for healthcare
workflows.
• Implement RAG pipelines with vector databases (Pinecone, FAISS, Qdrant,
Weaviate).
• Preprocess and curate clinical/biomedical datasets (structured + unstructured).
• Develop domain-specific prompts, chains, and agents for medical tasks.
• Optimize models for latency, scalability, and cost-efficiency in real-world hospital
environments.
• Integrate LLM APIs with backend stacks (FastAPI, Flask, Django, ).
• Contribute to agentic AI workflows: automated reports, patient summaries,
decision-support bots.
• Benchmark performance (BLEU, ROUGE, BERTScore, perplexity) with healthcare
datasets.
• Collaborate across AI, DevOps, and Product for end-to-end deployment.
• Maintain reproducible code, clean documentation, and state-of-the-art research
adoption.
What We're Looking For
•
Languages & Frameworks:
Python, PyTorch/TensorFlow.
•
LLM/NLP Expertise:
Transformers (BERT, GPT, LLaMA, etc.), LangChain, Haystack, or
LlamaIndex.
•
Vector Databases:
Pinecone, FAISS, Qdrant, Weaviate.
•
Data Skills:
Preprocessing EMRs, PDFs, unstructured medical text.
•
Deployment:
FastAPI/Flask, REST APIs, Git version control.
•
Strong debugging + problem-solving mindset.
•
Exposure to healthcare datasets (MIMIC-III, PubMed, CheXpert) is a plus.
• Awareness of Responsible AI & Compliance (HIPAA, GDPR, DPDP) preferred.
Qualifications
• Pursuing or recently completed Bachelors/Masters in CS, AI/ML, Data Science, or
related.
• Strong project portfolio (GitHub, demos, research papers, hackathon wins).
• Healthcare domain awareness = added advantage.
Selection Process
Resume Screening – based on projects, portfolio, and LLM experience.
Technical + HR Interview – assess problem-solving, innovation, and cultural fit.
Why Join Us?
•
Impact at Scale:
Work on a system that will power doctors and hospitals globally.
•
Learn from the Best:
Mentorship from experts in NLP, MedTech, and Deep Learning.
•
Career Pathway:
Internship → Part-time (paid) → Full-time.
•
Global Recognition:
Work on India's first proprietary healthcare SLM.
•
Flexibility:
Remote-first, outcome-driven.
•
Visibility & Credits:
Certificates, acknowledgments, and your name on
groundbreaking projects.
This is not "just another internship." It's a chance to build history with us — if you're hungry
to solve real problems, push AI boundaries, and shape the future of global healthcare.
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