Senior Python Backend Developer

Key Responsibilities

• Design, develop, and deploy production-ready Agentic AI applications using Python.
• Build intelligent agents and AI-driven workflows to automate marketing campaign activities.
• Develop scalable microservices and REST APIs using Python and FastAPI.
• Design and implement LLM-powered applications using RAG, embeddings, semantic search, and vector databases.
• Develop multi-agent architectures and AI orchestration workflows.
• Integrate LLMs with enterprise applications, APIs, databases, and external services.
• Implement AI guardrails for security, reliability, accuracy, responsible AI, and controlled agent behavior.
• Build robust data and retrieval pipelines supporting RAG applications.
• Design distributed services that can scale reliably in production environments.
• Work with MongoDB for application data, metadata, conversation history, and AI-related workloads.
• Develop automated tests and maintain high standards for code quality and reliability.
• Participate in code reviews and contribute to software engineering standards and best practices.
• Troubleshoot and optimize AI applications and backend services.
• Collaborate with product managers, engineers, data scientists, and business stakeholders.
• Support deployment, monitoring, debugging, and production operations of Agentic AI solutions.
• Evaluate emerging AI models, frameworks, tools, and development approaches.

Required Qualifications

• 5+ years of strong hands-on Python development experience.
• 5+ years of microservices and API development experience.
• 5+ years of MongoDB experience.
• Strong experience developing REST APIs using Python.
• Hands-on experience with FastAPI.
• Strong understanding of distributed systems and microservices architecture.
• Strong experience with LLMs and Retrieval-Augmented Generation (RAG).
• Hands-on experience with vector databases, embeddings, and semantic search.
• Experience implementing AI/Agent guardrails.
• Strong Software Engineering Fundamentals, Including Object-oriented programming, Design patterns, Unit testing, Error handling, Logging, Code reviews, CI/CD, Strong understanding of production software development and deployment practices.