AI Automation Manager

To qualify for the role, you must have

• Degree in Engineering, IT, Computer Science
• Core Python Expertise
• Deep understanding of data structures (Lists, Dictionaries, Tuples, Sets) and OOP principles.
• Strong experience designing modular, maintainable, high-performance Python applications.
• Expertise in profiling, debugging, dependency management, and unit testing.
• Hands-on experience designing schemas and integrating MongoDB and PostgreSQL.
• FastAPI & Backend Architecture
• Proven track record architecting and delivering production-grade APIs with FastAPI
• Strong knowledge of Pydantic models, async/await patterns, authentication frameworks, and API security
• Expertise with Docker, Docker Compose, YAML-based configurations, and container networking
• LangGraph & AI Agentic Workflows
• Experience architecting multi-step agent workflows using nodes, edges, and centralized state management
• Ability to define patterns for conversation state handling, context propagation, retries, and fallback logic
• Strong skills in debugging failed agent flows and tracing execution paths

Ideally, youll also 

• Experience building microservices or distributed backend systems
• Exposure to cloud platforms (AWS/GCP/Azure) and modern DevOps pipelines
• Experience with LLM-based applications or AI automation tooling
• Prior experience leading or mentoring engineering teams