You will build AI-powered applications to solve complex business challenges.
Responsibilities
Design and develop AI applications using Large Language Models (LLMs), AI agents, Model Context Protocol (MCP), and Agent-to-Agent (A2A) protocol.
Own the end-to-end lifecycle of AI applications, covering development, testing, performance, security, scalability, and UX from prototype to production.
Integrate AI capabilities into existing workflows by collaborating with cross-functional teams.
Monitor AI trends and recommend relevant tool adoption.
Required Skills
8+ years of IT experience.
Advanced programming skills in Python.
Expertise in developing AI-powered applications.
Experience with Large Language Models (OpenAI, Hugging Face, LangChain, LLaMA).
Knowledge of Machine Learning frameworks (TensorFlow, PyTorch, SciKit-learn).
Familiarity with Agentic AI concepts and protocols (MCP, A2A protocol).
Preferred Skills
Knowledge of LLM architectures.
Experience with lifecycle management for AI models (training, validation, deployment, monitoring).