Ekfrazo Technologies - Artificial Intelligence Engineer - LLM Models

Role : AI Engineer

Location : Bangalore- Hybrid

Exp : 5+ Years

Industry : MNC Brewery Industry

NP : Immediate Joiners

We are looking for a seasoned AI Engineer to work on global GenAI projects

Key Skills :

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

Data Processing & Pipelines :

- Experience with chunking strategies for efficient document processing

- Building data pipelines to handle large-scale data for AI model training and inference

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

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