AI Engineer

Job Description:
We are seeking a talented AI Engineer with hands-on experience building Generative AI applications and intelligent agent systems. The ideal candidate will have practical expertise working with Large Language Models (LLMs), Model Context Protocol (MCP), Lang Graph, and AI extensions/tool integrations.

Key Responsibilities
Design, develop, and deploy AI-powered applications utilizing Large Language Models (LLMs).
Build and integrate AI agents using Lang Graph and agent orchestration frameworks.
Develop and maintain MCP (Model Context Protocol) servers and tool integrations.
Implement Retrieval-Augmented Generation (RAG) pipelines leveraging vector databases and embedding models.
Create AI extensions, custom tools, and function-calling capabilities for intelligent workflows.
Integrate external APIs, enterprise systems, and third-party services into AI applications.
Optimize prompts, evaluate model performance, and improve response quality.
Collaborate with engineering and product teams to deliver scalable AI solutions.
Deploy AI applications using cloud technologies and containerization platforms.

Required Qualifications
1+ years of experience in AI Engineering, Generative AI, or LLM-based application development.
Hands-on experience with LLMs such as GPT, Claude, Gemini, Llama, or similar models.
Experience with MCP (Model Context Protocol).
Strong understanding of Lang Graph and agentic workflows.
Experience building AI extensions, tool integrations, or function-calling applications.
Proficiency in Python and frameworks such as Fast-API.
Knowledge of RAG architectures, embeddings, and vector databases.
Experience with API development and system integrations.
Familiarity with Docker, Kubernetes, and cloud platforms (AWS, Azure, or Google Cloud Platform).