Manager

• Design, develop, and implement scalable, secure, and resilient backend systems using FastAPI, Flask, Django, and microservices.
• Write clean, efficient, and maintainable code, with strong emphasis on hands-on development and troubleshooting.
• Implement cloud-native solutions using Azure and/or AWS, with focus on CI/CD pipelines, containerization, monitoring, and observability.
• Build and integrate Generative AI and Agentic AI capabilities into backend services (RAG pipelines, vector databases, LangChain, HuggingFace, Azure OpenAI).
• Ensure adherence to security, compliance, and data integrity standards.

• Take ownership of technical problems and deliver practical, scalable solutions.
• Perform code reviews, debugging, performance tuning, and system optimization.
• Collaborate with senior engineers and architects to translate high-level designs into production-ready implementations.
• Continuously evaluate and adopt emerging technologies for improving backend and AI systems.

• Mentor junior engineers by providing technical guidance, pair programming, and knowledge sharing.
• Work closely with product managers, architects, and cross-functional teams to align on requirements and deliverables.

• Build and maintain AI-enabled applications using Python and Node.js.
• Experiment with and implement prompt engineering, fine-tuning, and AI automation workflows.
• Stay up to date on latest trends in Agentic AI, autonomous systems, and data pipelines to propose innovative solutions.

• Ensure timely development of backend and AI solutions with high code quality and reliability.
• Follow and enforce engineering best practices: code reviews, testing, documentation, and design principles.
• Monitor and improve system KPIs such as uptime, latency, throughput, and model accuracy.

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