• Collaborate closely with business stakeholders to gather requirements and translate them into robust, scalable AI-driven solutions.
• Design, develop, and maintain high‑performance Python applications, focusing on Agentic AI architectures, automated reasoning workflows, and autonomous task‑orchestration systems.
• Build AI agents capable of planning, tool‑use, retrieval‑augmented generation (RAG), and multi‑step autonomous decision-making.
• Develop end‑to‑end pipelines including data ingestion, vector embeddings, model integration, orchestration logic, and monitoring.
• Implement complex business logic, model interaction rules, and state management for agent-based systems.
• Participate in sprint planning, daily standups, and agile ceremonies while ensuring timely delivery of development milestones.
• Conduct and coordinate user acceptance testing (UAT) for AI features, resolve issues, and support deployment to production environments.
• Prepare and maintain technical documentation, workflows, and operating procedures for AI services and Python-based applications.
• Mentor junior developers, lead knowledge‑sharing sessions, and introduce best practices for Python engineering and AI development.

Minimum Qualifications

Experience / Knowledge / Skills:

• 5+ years of hands-on Python development experience, building production-grade backend services or data-intensive applications.
• 2+ years working with modern AI ecosystems, including Agentic AI frameworks, RAG pipelines, vector stores, and tool‑calling workflows.
• Strong expertise with FastAPI / Flask, asynchronous programming, microservices, and API integrations.
• Experience integrating Large Language Models (LLMs) into applications.
• Proficiency in designing data pipelines and working with SQL/NoSQL technologies.
• Exposure to cloud platforms and containerization.
• Strong analytical and debugging skills with ability to translate business needs into technical implementations.
• Excellent communication, collaboration, and stakeholder‑management skills.
• Ability to work in fast‑paced environments, multitask, and deliver high‑quality outputs within sprint timelines.
• Positive attitude with willingness to learn evolving AI technologies.