Job Description :

Work on building scalable multi-modal LLM based AI agents, leveraging frameworks.

Research and build innovative solutions to relevant AI problems, including RAG, semantic search, knowledge representation, tool usage, fine-tuning, and reasoning in LLMs.

Tech Stack :

- Python

- Langchain

- Langgraph

- LLM

- RAG

- GEN AI

- Agentic AI

- Natural Language Processing

Key Responsibilities :

- Architect and implement end-to-end RAG pipelines to improve the accuracy and context-awareness of large language model responses for enterprise applications.

- Develop and maintain complex AI agents using Langchain and Langgraph to automate multi-step reasoning tasks and improve operational workflows.

- Optimize Natural Language Processing models to ensure high performance and low latency in production environments.

- Collaborate with engineering teams to integrate Generative AI features into existing software platforms, ensuring seamless user experiences.

- Evaluate and fine-tune LLMs to meet specific domain requirements, ensuring the output aligns with business quality standards and safety guidelines.