Artificial Intelligence (AI) - Internship

We are looking for a backend developer with hands-on experience integrating
open-source LLMs (e.g., Mistral, LLaMA) and vector databases (like FAISS,
Qdrant, Weaviate, Milvus) in offline or edge environments.
You will help develop core APIs and infrastructure to support embedding
pipelines, retrieval-augmented generation (RAG), and LLM inference on local or
mobile hardware.

Selected intern's day-to-day responsibilities include:

- Design and implement backend services that interface with local LLMs and
vector databases
- Develop APIs to support prompt engineering, retrieval, and inference
- Integrate embedding models (e.g., BGE, MiniLM) and manage
chunking/processing pipelines
- Optimize performance for offline or constrained environments (mobile,
embedded devices, etc.)
- Package and deploy models via frameworks like Ollama, llama.cpp, gguf, or
on-device runtimes
- Handle local file I/O, document ingestion, metadata tagging, and indexing
- Create Agentic frameworks with multi agent deployments