Description

You will design, develop, and deploy production-ready Agentic AI solutions, owning the backend services and AI integration lifecycle.

Responsibilities

• Build and maintain scalable backend services using Python and FastAPI.
• Implement agent orchestration, tool calling, memory management, and workflow logic.
• Integrate Generative AI (LLMs) into applications using prompt engineering and inference optimization.
• Develop and expose RESTful and async APIs for AI-driven services.
• Deploy and monitor GenAI applications in production, addressing latency, cost, security, and observability.

Required Skills

• 5+ years of hands-on experience with Python and FastAPI.
• Proven production implementation experience with Agentic AI architectures and GenAI pipelines.
• Strong experience integrating LLMs, including prompt engineering and tool calling.
• Hands-on cloud development experience on AWS (Bedrock), Azure, or GCP.
• Deep understanding of cloud-native design patterns, including microservices and event-driven systems.
• Ability to manage production concerns: latency, cost, security, observability, and governance.

Preferred Skills

• Experience with agent-based design patterns involving reasoning and complex workflow management.

Key Skills

Education

Any Gradute