Description
We are seeking a forward-thinking Senior Python Engineer & Architect who operates at the intersection of backend engineering, AWS and generative AI.

In this role, you will not just write code — you will orchestrate it. You will leverage Agentic AI frameworks and contemporary LLM tooling to build scalable enterprise intelligence layers. You will design robust APIs and CI/CD pipelines where AI agents assist in development, testing, and documentation.

This is an chance to help define how AI-assisted engineering operates at enterprise scale.

Responsibilities
Job Description:
Design, implement, and manage high-performance backend systems using Python (FastAPI/Django).
Architect scalable RESTful and QUICK APIs and microservices connecting enterprise data and analytics platforms.
Build, containerize, and deploy backend applications on AWS using Docker and container orchestration platforms (ECS/EKS).
Develop and maintain CI/CD pipelines to automate build, test, container image creation, and deployment to AWS (ECS/EKS).
Ensure APIs are secure, resilient,



and optimized for performance and scalability.
Implement multi-threading and multiprocessing where appropriate for performance optimization.
Integrate and orchestrate LLM-driven workflows using up-to-date agentic frameworks.
Utilize AI coding assistants (e.g., Claude Code, Codex, Copilot, Cursor) to enhance development velocity and automation.
Build scalable AI-driven enterprise intelligence layers including vector-based APIs and retrieval workflows.
Debug, optimize, and enhance existing services for reliability and performance.
Implement observability and monitoring for containerized services (logs, metrics, traces) using CloudWatch and/or APM tooling.
Maintain comprehensive documentation for APIs, infrastructure, and AI-driven workflows.
Follow best practices for clean code, security, observability, and performance optimization.

Primary Skills:
Python: Advanced proficiency in Python 3,

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