Description

You will architect and develop scalable, distributed backend systems for GenAI applications using Python and FastAPI.

Responsibilities

• Design and build backend services supporting LLM integration, context management, and tool orchestration.
• Lead the development of agentic systems, including multi-agent workflows and orchestration logic.
• Implement context-aware AI solutions leveraging MCP and agent frameworks like AWS Strands.
• Integrate backend services with modern React-based UIs when full-stack work is required.
• Drive architectural decisions, code quality, CI/CD automation, and system reliability.

Required Skills

• 8+ years of industry experience with object-oriented and asynchronous programming, focusing on Python.
• Deep expertise in Python and FastAPI for backend development.
• Strong experience designing and building scalable, cloud-native, distributed systems.
• Experience building and deploying GenAI/LLM-based applications in production.
• Hands-on experience with agentic frameworks, multi-agent orchestration, and tool usage.
• Experience integrating with LLM APIs (e.g., OpenAI, Bedrock) and building reliable AI workflows.
• Familiarity with MCP (Model Context Protocol) or similar context-driven AI architectures.
• Strong experience with AWS, including architecture, deployment, and scaling.
• Experience with Docker, Kubernetes, and Helm.

Preferred Skills

• Experience with React.js for frontend integration.
• Strong understanding of AsyncIO and event-driven architectures.

Key Skills

Education

Bachelor's degree