Senior AI Engineer

Main Responsibilities

• Architect and develop AI-driven solutions using LLMs including GPT, Claude, Gemini, and LLaMA.
• Build and maintain RAG pipelines with integration to a vector database for semantic search and retrieval.
• Design and manage workflows using LangChain, LangGraph, and LangSmith.
• Apply Model Context Protocol (MCP) for structured and reusable prompt engineering.
• Develop backend services primarily in PHP (preferred), or alternatively in Python or Java.
• Design, consume, and maintain RESTful and external APIs, ensuring secure and efficient integrations.
• Deploy AI services across AWS, Azure, or on-prem infrastructure as required.
• Monitor, evaluate, and optimize LLM usage and performance in real-world applications.
• Lead and mentor engineers across AI / ML development efforts.

Key Requirements

Additional Requirements

What We Offer