Description

You will design, develop, and deploy scalable AI applications and enterprise agent-based solutions.

This role is remote.

Responsibilities

• Design and develop AI agents and enterprise automation workflows to address specific business use cases.
• Build and integrate Model Context Protocol (MCP) servers, tools, and connectors for secure access to enterprise APIs, databases, and external systems.
• Develop LLM-powered solutions including prompt engineering, agent orchestration, tool calling, and Retrieval-Augmented Generation (RAG).
• Create and maintain Python-based microservices and APIs to integrate AI capabilities with enterprise platforms.
• Deploy and manage applications using Docker and Kubernetes (AKS, EKS, GKE) in cloud-native environments.

Required Skills

• 4+ years of professional software engineering experience.
• Strong proficiency in Python for building microservices and APIs.
• Hands-on experience with Retrieval-Augmented Generation (RAG) implementations and LLM integration.
• Deep knowledge of containerization and orchestration using Docker, Kubernetes, AKS, EKS, and GKE.
• Practical experience deploying solutions across Azure, AWS, and GCP.
• Bachelor's degree in Computer Science or a related technical field.

Key Skills

Education

Bachelor's degree