Description

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

This role is on-site.

Responsibilities

• Build and maintain backend services using Python and FastAPI.
• Implement agent orchestration, tool calling, memory, and workflow management.
• Integrate Generative AI (LLMs) into business applications with proper guardrails.
• Develop and expose RESTful and async APIs for AI-driven services.
• Deploy, monitor, and support GenAI applications in production environments.

Required Skills

• 12+ years of hands-on experience with Python and FastAPI.
• Proven production implementation experience with Agentic AI architectures.
• Hands-on GenAI experience, including LLM integration, prompt engineering, and inference optimization.
• Experience implementing end-to-end GenAI pipelines used by real users.
• Solid cloud development experience on AWS, Azure, or GCP.
• Strong understanding of cloud-native design patterns (microservices, APIs, event-driven systems).
• Experience with AWS Bedrock for GenAI and LLM integrations.
• Knowledge of agent-based design patterns including orchestration, tools, memory, and reasoning.
• Understanding of production concerns: latency, cost optimization, security, observability, and governance.

Preferred Skills

• Experience with RESTful APIs and microservices architecture.
• Graduate degree in Computer Science or related field.

Key Skills

Education

Any Gradute