AI Expet

An AI Engineer builds practical AI-powered products by integrating foundation models (like GPT, Claude, or Llama), building agentic workflows, and implementing Retrieval-Augmented Generation (RAG) pipelines. They focus on prompt engineering, system optimization, and connecting AI models to enterprise data rather than writing algorithms from scratch

Key ResponsibilitiesApplication Building: Design, deploy, and scale AI agents and systems that automate workflows and drive business value.RAG & Search Implementation: Connect Large Language Models (LLMs) to private company databases using vector databases (e.g., Pinecone) and frameworks like LangChain or LlamaIndex.Model Integration: Package AI models into APIs and integrate them into existing software and customer-facing applications.

Programming: Advanced proficiency in Python and familiarity with application development (Java, Node.js).AI Tooling: Deep understanding of ML frameworks (TensorFlow, PyTorch) and the Hugging Face ecosystem.Data Pipelines: Experience with ETL data pipelines,

Premium Compensation: Offers among the highest base salaries in the tech industry due to severe talent shortages.Equity Packages: Includes substantial stock options or RSUs, particularly in venture-backed AI startups.Signing Bonuses: Provides aggressive upfront cash incenti