Roles and Responsibilities
· Design, train, and fine-tune
Large Language Models (LLMs)
for domain-specific applications.
· Implement
Retrieval-Augmented Generation (RAG)
pipelines for context-aware responses using enterprise data.
· Work with
LangChain, LangGraph, and similar frameworks
to build modular, production-ready AI workflows.
· Develop efficient
document ingestion
and
vectorization pipelines
to index, embed, and query knowledge bases using
vector databases
like Pinecone, FAISS, or Chroma.
AI/ML Engineering & Programming Excellence
· Write high-quality, modular, and maintainable code in
Python
, applying strong software engineering principles.
· Build and optimize data pipelines for
feature extraction, preprocessing, and model training
.
· Apply
deep learning
and
machine learning
concepts for both traditional and generative use cases.
· Implement
prompt engineering
and
context optimization
strategies to enhance LLM performance