Description

What You'll Do:

• Design, build, and deploy enterprise-scale AI agents, copilots, and AI-powered platforms.
• Lead the architecture and development of production-grade Agentic AI systems.
• Define and implement orchestration strategies, memory management, tool integrations, guardrails, evaluation frameworks, and observability practices.
• Develop scalable RAG-based applications and intelligent agent workflows.
• Drive AI platform reliability, monitoring, performance optimization, and incident management.
• Build reusable AI platform services, frameworks, and engineering standards.
• Collaborate with business and technology stakeholders to translate business requirements into AI solutions.
• Conduct architecture and design reviews, ensuring adherence to engineering best practices.
• Mentor and guide engineers across AI/ML initiatives.
• Partner with distributed teams across India and the United States to deliver high-impact AI solutions.

Expertise You'll Bring:

• Generative AI: LLMs, RAG, Agentic AI, Prompt Engineering, LLMOps
• Agent Frameworks: LangGraph, CrewAI, AutoGen, Semantic Kernel
• AI Platform Components: MCP, Vector Databases, Agent Runtime Frameworks, AI Guardrails, Evaluation Pipelines
• Programming: Python (Preferred), Java, Go, TypeScript
• Cloud & Platform Engineering: Kubernetes, APIs, Microservices, Event-Driven Architecture, Serverless Computing
• Observability: AI Monitoring, Observability, Evaluation Frameworks
• Production Experience: Building and operating enterprise-scale AI Agents, Copilots, and Agentic AI systems

Key Skills

Education

Any Graduate