[Hiring] AI Architect @Inficare Technologies

Role Description

We are seeking a highly skilled, hands-on Lead AI Systems Architect to design, build, and scale our next-generation AI ecosystem. In this role, you will lead the architecture and implementation of:

• Agent-to-Agent frameworks
• Model Context Protocol (MCP) integrations
• Our proprietary AI development platform

This is not a purely theoretical role. You must be deeply technical, actively writing code, and capable of translating complex AI research into robust, production-grade software. As a key bridge between engineering teams and stakeholders, you must also possess exceptional communication skills to articulate technical vision and drive cross-functional alignment.

Qualifications

• 10+ years of software architecture experience
• At least 3+ years of dedicated, hands-on experience building and deploying production-grade LLM applications and AI systems
• Deep understanding of multi-agent frameworks (e.g., LangGraph, AutoGen, CrewAI), prompt engineering, RAG pipelines, and vector databases
• Proven experience with Model Context Protocol (MCP) or designing similar context-sharing and tool-calling protocols for GenAI
• Proficiency in Python, TypeScript, or Go, along with cloud native technologies (AWS/GCP/Azure, Kubernetes, Docker) and modern AI SDKs
• Outstanding verbal and written communication skills

Requirements

• Design and implement multi-agent orchestration frameworks, focusing on autonomous negotiation, task delegation, state management, and secure inter-agent communication
• Architect and build scalable Model Context Protocol (MCP) servers and clients to securely connect LLMs to data sources, development tools, and enterprise environments
• Drive the architectural vision for our internal AI development platform, ensuring high throughput, low latency, and seamless developer workflows for training, testing, and deploying models
• Write high-quality, production-ready code, build prototypes, and establish engineering best practices for AI application development
• Standardize architectural patterns across the organization
• Mentor junior engineers and explain complex technical concepts to non-technical stakeholders clearly and effectively

Company Description