AIML Engineer

Role-AI/ML Engineer

Experience- 5-8 years

Work mode- Hybrid

Immediate joiner preferred

The AI/ML Engineer will be responsible for designing and implementing scalable AI systems, including end-to end machine learning and LLM-based architectures. The role involves building agentic AI solutions, multi-agent workflows, and Model Context Protocol (MCP) integrations, while ensuring high performance, reliability, and scalability of AI applications.

Key Responsibilities:

AI/ML Architecture & System Design

• Design end-to-end AI/ML and LLM system architecture.

• Define scalable architecture for AI applications.

• Select appropriate models, frameworks, and infrastructure. Agentic AI System Architecture

• Design complex multi-agent systems.

• Implement advanced agent orchestration workflows.

• Build planning, reasoning, and memory-enabled agents.

Model Context Protocol (MCP) Architecture

• Design MCP server architecture and tool ecosystems.

• Standardize enterprise integration using MCP resources.

• Define MCP governance and best practices.

Scalable AI Infrastructure

• Architect distributed inference pipelines.

• Optimize latency, performance, and cost of AI systems. • Design scalable vector database architecture.