Python Application Developer

JOB PURPOSE:

We are seeking a Python Developer to create scalable, high-performance applications focused on LLM-powered agentic workflows. This position entails core Python development, integration with cutting-edge AI frameworks, and cross-team collaboration. You will work extensively with LangChain and LangGraph to build intelligent systems leveraging agents, tools, and multi-step reasoning pipelines. Responsibilities include implementing prompt chaining, memory management, and tool integration while maintaining performance, scalability, and reliability. Ideal candidates will have strong

Python expertise, experience with LLM workflows and agentic architectures, familiarity with frameworks such as FastAPI or Flask, and excellent problem-solving and debugging skills.

KEY RESULT AREA:

• Application Development Build and maintain scalable Python applications focused on LLM-powered agentic workflows using LangChain and LangGraph.

• API & Database Integration – Develop efficient APIs (FastAPI/Flask) and ensure smooth integration with relational and NoSQL databases.

• Code Quality – Write clean, optimized, and maintainable code following best practices.

• Collaboration – Work cross-functionally with frontend, DevOps, product, and AI teams to deliver intelligent systems.

• Security & Scalability – Implement secure, scalable architectures supporting tools, memory, and prompt chaining.

• Automation – Automate workflows and repetitive tasks to improve efficiency.

• Continuous Learning – Stay updated on LLM frameworks, agentic patterns, and AI trends to drive innovation.

• Agile Environment – Operate within agile teams, ensuring performance, reliability, and scalability.

• Standards & Compliance – Adhere to coding standards and architectural guidelines for consistency and quality.

OPERATING ENVIRONMENT, FRAMEWORK AND BOUNDARIES, WORKING RELATIONSHIPS

• Operating Environment: Work within an agile development environment, ensuring code quality, scalability, and security while adhering to best practices and industry standards.

• Framework and Boundaries: Follow established coding standards, architectural guidelines, and compliance requirements to maintain consistency and reliability in software development.

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• Team Collaboration – Partner with product, design, and engineering teams to deliver business-aligned solutions.

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 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.