Role Overview
We are looking for a skilled ML Developer to join our team and contribute to the development of advanced AI-powered solutions. The ideal candidate will have experience in working with LangChain, building applications that integrate Large Language Models (LLMs), and creating efficient pipelines for Retrieval-Augmented Generation (RAG) workflows.
Responsibilities
- Design, develop, and maintain applications leveraging LangChain to build workflows around LLMs.
- Implement Retrieval-Augmented Generation (RAG) techniques for optimized AI/ML workflows.
- Develop custom pipelines for integrating Vector Databases like Pinecone or ChromaDB with LangChain.
- Collaborate with cross-functional teams to integrate LangChain-based solutions with APIs, databases, and external systems.
- Optimize the performance of LangChain-based models for scalability and reliability.
- Stay up to date with the latest advancements in LangChain, LLMs, and related technologies.
Requirements
- Hands-on experience with LangChain for building LLM-based applications.
- Knowledge of Python and related libraries (e.g., OpenAI, Hugging Face).
- Familiarity with Vector Databases (e.g., Pinecone, ChromaDB) and vector embeddings.
- Understanding of Large Language Models and their applications (e.g., GPT, Llama).
- Experience working with APIs, cloud services (AWS, Azure, or GCP), and data integration.
- M.Tech candidates who have successfully published research paper(s) are preferred.
Skills
- LangChain
- Python
- LLMs
- Pinecone
- RAG
Benefits
- Paid sick time
- Provident Fund
- Work from home
- Competitive salary and growth opportunities