Large Language Models (LLM):

Experience with LangChain, LangGraph

Proficiency in building agentic patterns like ReAct, ReWoo, LLMCompiler
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
Streaming & Real-time Processing:

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

Low-latency inference and deployment architectures
NL2SQL:

Natural language-driven SQL generation for databases

Experience with natural language interfaces to databases and query optimization
API Development:

Building scalable APIs with FastAPI for AI model serving
Containerization & Orchestration:

Proficient with Docker for containerized AI services

Experience with orchestration tools for deploying and managing services
AI Frameworks & Tools:





Experience with AI/ML frameworks like TensorFlow, PyTorch

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

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

Disclaimer: This job posting and Location has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Genai Engineer Pune
🏢 HNM Sourcing
📍 Pune