Job 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 modern 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 opportunity to help define how AI-assisted engineering operates at enterprise scale.

• Design, implement, and manage high-performance backend systems using Python (FastAPI/Django).
• Architect scalable RESTful and FAST 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 modern 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, including OOP, multithreading, multiprocessing, and modular architecture.
• FastAPI / Django: Strong experience building production-grade APIs.
• REST APIs: Deep understanding of REST principles and microservices design.
• Containers: Strong experience with Docker (Dockerfiles, image optimization, multi-stage builds, container security basics).
• AWS Container Deployments: Proven experience deploying and operating containerized applications on AWS
• AI & Agentic Frameworks: Hands-on experience with LangChain, LangGraph, AutoGen, or similar LLM orchestration frameworks.
• AI-Assisted Development Tools: Experience using tools such as Cursor, Copilot Workspace, Claude Code, Codex, or equivalent.
• Vector & Retrieval Systems: Understanding of vector-based APIs and modern search/retrieval architectures.
• Problem-Solving: Strong analytical and troubleshooting skills.
• Communication: Excellent verbal and written communication skills.

• 5–7 years of experience in software development with strong focus on Python backend architecture.
• Hands-on experience containerizing applications and deploying them to AWS using ECS/EKS in production environments.
• Exposure to generative AI integration in production systems.
• Experience working in fast-paced delivery environments supporting continuous deployment cycles.
• Experience working in distributed or dual-shore delivery models is preferred.
• Strong ownership mindset and architectural thinking capability.