Job Description

:

o Large Language Models (LLM):


Experience with LangChain, LangGraph


Proficiency in building agentic patterns like ReAct, ReWoo, LLMCompiler


o Multi-modal Retrieval-Augmented Generation (RAG):


Expertise in multi-modal AI systems (text, images, audio, video)


Designing and optimizing chunking strategies and clustering for large data processing


o Streaming & Real-time Processing:


Experience in audio/video streaming and real-time data pipelines


Low-latency inference and deployment architectures


o NL2SQL:


Natural language-driven SQL generation for databases


Experience with natural language interfaces to databases and query optimization


o API Development:


Building scalable APIs with FastAPI for AI model serving


o Containerization & Orchestration:


Proficient with Docker for containerized AI services


Experience with orchestration tools for deploying and managing services


o AI Frameworks & Tools:


Experience with AI/ML frameworks like TensorFlow, PyTorch


Proficiency in LangChain, LangGraph, and other LLM-related technologies


o Prompt Engineering:


Expertise in advanced prompting techniques like Chain of Thought (CoT) prompting, LLM Judge, and self-reflection prompting


Experience with prompt compression and optimization using tools like LLMLingua, AdaFlow, TextGrad, and DSPy


Strong understanding of context window management and optimizing prompts for performance and efficiency.