Description

You will design and implement AI infrastructure to support federated agent development and distributed deployment.

Responsibilities

• Manage and orchestrate AI agents to generate architecturally sound code, ensuring adherence to enterprise standards.
• Build and maintain MCP (Model Context Protocol) servers and related infrastructure for agent communication and service bus integration.
• Accelerate code review processes by leveraging AI agents for automated analysis and quality checks.
• Establish monitoring, governance, and security frameworks for AI agent operations in enterprise environments.
• Collaborate with development teams to integrate AI-powered tools into existing CI/CD pipelines.

Required Skills

• 8+ years of professional software development experience architecting scalable systems.
• Proficiency in Python and TypeScript/JavaScript.
• Experience with AI/ML infrastructure and agent orchestration.
• Strong understanding of enterprise software architecture patterns and distributed systems design.
• Experience with cloud platforms (AWS, Azure, or GCP) and infrastructure-as-code.
• Expertise with Docker and Kubernetes in production environments.
• Experience building and managing APIs, microservices, and event-driven architectures.
• Strong knowledge of information security principles, including OAuth 2.0 flows.
• Bachelor's degree in Computer Science or related field.

Preferred Skills

• Experience with AI agent frameworks or LLM integration.
• Background in building federated systems or multi-tenant AI platforms.
• Familiarity with vector databases and RAG architectures.

Key Skills

Education

Bachelor's degree