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Urgent! Lead Python Engineer - Pycharm/Flask Job Opening In India, India – Now Hiring Delphie Consulting services

Lead Python Engineer Pycharm/Flask



Job description

<p><p><b>About the Project : </b><br/><br/>We are seeking a Lead Python Engineer (Generative AI) to architect and develop an enterprise-grade, multi-tenant AI assistant that enhances internal company support operations.

The platform will leverage Flask, MongoDB, and Googles Gemini AI to provide intelligent, context-aware answers to employees in real time.

Development will be executed in a Dockerized environment with PyCharm as the primary IDE.<br/><br/><b>Key Responsibilities : </b><br/><br/>- Flask Backend Development : Design, implement, and maintain scalable RESTful APIs, authentication flows, and multi-tenant logic.<br/><br/>- AI Orchestration & Integration : Build and optimize the AI orchestration layer to manage query flows, integrate Gemini AI SDK, and implement intelligent tool-selection mechanisms.<br/><br/>- AI Tools & Services : Develop backend services (e.g., services.py) that enable the AI assistant to fetch real-time employee-specific data such as leave balances, expense statuses, and approvals.<br/><br/>- Database Engineering : Design and optimize MongoDB queries for user management, data ingestion, and low-latency lookups.<br/><br/>- Environment Management : Configure and troubleshoot Docker/Docker Compose environments.

Maintain dependencies via requirements.txt.<br/><br/>- Debugging & Optimization : Leverage PyCharms advanced features for profiling, debugging, and code optimization across the stack.<br/><br/>- Collaboration & Best Practices : Enforce coding standards, participate in code reviews, and mentor team members on Python and AI-driven application development.<br/><br/><b>Required Skills : </b><br/><br/>- Expert-level Python development with hands-on experience in Flask.<br/><br/>- Strong knowledge of MongoDB or other NoSQL databases.<br/><br/>- Proficiency with Docker/Docker Compose in enterprise environments.<br/><br/>- Advanced debugging and troubleshooting skills using PyCharm or equivalent IDE.<br/><br/>- Proven ability to design scalable, modular, and maintainable systems.<br/><br/><b>Preferred Skills : </b><br/><br/>- Familiarity with Generative AI concepts such as RAG (Retrieval-Augmented Generation) and Tool-Calling.<br/><br/>- Experience in architecting or scaling multi-tenant SaaS applications.<br/><br/>- Exposure to enterprise-grade AI chatbots or conversational AI platforms.<br/><br/>- Working knowledge of cloud-based deployment (AWS, GCP, or Azure).</p><br/></p> (ref:hirist.tech)


Required Skill Profession

Computer Occupations



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