AI Engineer

Location : Bengaluru

Employnment : Contractual

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:

B

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