LLM Engineer Intern

SETV GLOBAL

Position:

Location:

Type:

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Future Path:

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, Node.js).

• 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:

LLM/NLP Expertise:

LlamaIndex.

Vector Databases:

Data Skills:

Deployment:

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

1. Resume Screening – based on projects, portfolio, and LLM experience.

2. Technical + HR Interview – assess problem-solving, innovation, and cultural fit.

Why Join Us?

Impact at Scale:

Learn from the Best:

Career Pathway:

Global Recognition:

Flexibility:

Visibility & Credits:

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.