Python Developer

Python Developer

Title:

Duration:

Location:

KNOWLEDGE, SKILLS AND EXPERIENCE

• 6 years of hands-on experience in Python development, with expertise in building and optimizing high-performance, scalable applications, including those powered by LLMs.
• Proficient in Python and frameworks such as FastAPI, Flask, and Django, with a strong focus on developing intelligent systems and agentic workflows.
• Practical experience in implementing and maintaining RESTful APIs, enabling seamless integration across services and tools.
• Strong understanding of relational and NoSQL databases including Oracle 19c/23AI, PostgreSQL, MySQL, and MongoDB.
• Proven ability to design and implement secure, scalable, and production-grade backend systems tailored for AI-driven applications.
• Direct experience building LLM-powered agentic workflows using frameworks like LangChain and LangGraph, including prompt chaining, memory management, and multi-step reasoning pipelines.
• Comfortable integrating modern AI frameworks and tools, with a focus on enabling autonomous agent behavior and dynamic tool use.
• Familiar with cloud platforms such as AWS or Azure, including experience deploying scalable AI applications in cloud environments.
• Proficient with Docker and Kubernetes for containerization and orchestration of microservices, ensuring deployment consistency and scalability.
• Experienced with version control systems like Git, using collaborative branching models and code review best practices.
• Skilled in writing and maintaining test coverage using frameworks like PyTest and UnitTest to support continuous integration.
• Strong debugging and performance optimization skills, with the ability to troubleshoot distributed AI pipelines and complex backend logic.
• Excellent collaboration and communication skills, with a proven ability to work across cross-functional teams including AI/ML, backend, and product.
• Hands-on experience with asynchronous programming models, supporting high-concurrency and event-driven architectures in applications involving Large Language Models (LLMs), LangChain, and LangGraph.
• Familiar with DevOps tools and practices, including implementing CI/CD pipelines to automate and streamline delivery.
• Exposure to frontend technologies such as React, Angular, or Vue.js for better end-to-end integration understanding.
• Familiar with AI/ML libraries such as NumPy, Pandas, Scikit-learn, TensorFlow — useful for integrating lightweight intelligence into backend systems.
• Strong analytical thinking and problem-solving abilities, with experience addressing challenges in complex, agentic systems.

Interested candidates send me your Cv along with below details:

Expected salary:

Notice Period:

Current Location:

Nationality: