Description

You will design and lead the architecture of scalable AI/ML platform systems and agentic applications.

This role is on-site.

Responsibilities

• Architect distributed systems and microservices for LLM-powered applications using event-driven patterns and API design.
• Design and implement agentic AI systems, RAG pipelines, and tool-use patterns with a focus on reliability and observability.
• Define software architecture standards, including prompt engineering strategies and multi-agent system design patterns.
• Collaborate on MLOps/LLMOps tooling and cloud infrastructure deployment for production-grade AI services.

Required Skills

• 10+ years of software architecture experience, including at least 3 years designing AI/ML platform systems.
• Hands-on experience with LLM orchestration frameworks such as LangChain, LangGraph, or Semantic Kernel.
• Strong proficiency in Python and at least one of Java, Go, or TypeScript.
• Deep expertise in distributed systems, microservices, and API design (REST/gRPC).
• Production experience deploying agentic AI systems or LLM-powered applications at scale.
• Knowledge of vector databases (Pinecone, Weaviate, pgvector) and knowledge graphs.

Preferred Skills

• Experience with Kubernetes, container orchestration, and cloud platforms (AWS/Azure/GCP).
• TOGAF or similar architecture certification.
• Experience with agent evaluation and benchmarking frameworks.

Key Skills

Education

Any Gradute