Description

You will design and implement scalable agentic AI solutions, leading backend orchestration and cloud-native architecture.

Responsibilities

• Architect modular, cloud-native solutions using microservices principles on AWS or Azure.
• Implement multi-agent communication and orchestration using Camel AI, LangChain, CrewAI, or LangGraph.
• Lead backend development in Python, Node.js, or Java, ensuring robust and maintainable codebases.
• Integrate systems via REST and gRPC APIs, collaborating with frontend and data science teams.
• Mentor engineering teams on agentic workflows, security protocols, and cloud-native best practices.

Required Skills

• 5+ years of experience in AI system design and development.
• Strong proficiency in Python, Node.js, or Java.
• Hands-on experience with agentic frameworks: LangChain, CrewAI, LangGraph, LlamaIndex, or AutoGen.
• Demonstrated use of Camel AI or Apache Camel for intelligent message routing and event-driven orchestration.
• Cloud-native deployment skills using Docker, Kubernetes, AWS (ECS/EKS), or Azure (AKS).
• Experience designing secure APIs with OAuth, RBAC, and identity management.
• Understanding of vector stores, episodic memory, and scalable data architectures.

Preferred Skills

• Master’s degree in Computer Science or Software Engineering.
• Cloud certifications (AWS Solutions Architect or Azure Solutions Architect).

Key Skills

Education

Bachelor's degree