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Lead Python Engineer - Pycharm / Flask

Lead Python Engineer - Pycharm / Flask

Delphie Consulting servicesDelhi, IN
23 days ago
Job type
  • Remote
Job description

About the Project :

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.

Key Responsibilities :

  • Flask Backend Development : Design, implement, and maintain scalable RESTful APIs, authentication flows, and multi-tenant logic.
  • AI Orchestration & Integration : Build and optimize the AI orchestration layer to manage query flows, integrate Gemini AI SDK, and implement intelligent tool-selection mechanisms.
  • 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.
  • Database Engineering : Design and optimize MongoDB queries for user management, data ingestion, and low-latency lookups.
  • Environment Management : Configure and troubleshoot Docker / Docker Compose environments. Maintain dependencies via requirements.txt.
  • Debugging & Optimization : Leverage PyCharms advanced features for profiling, debugging, and code optimization across the stack.
  • Collaboration & Best Practices : Enforce coding standards, participate in code reviews, and mentor team members on Python and AI-driven application development.

Required Skills :

  • Expert-level Python development with hands-on experience in Flask.
  • Strong knowledge of MongoDB or other NoSQL databases.
  • Proficiency with Docker / Docker Compose in enterprise environments.
  • Advanced debugging and troubleshooting skills using PyCharm or equivalent IDE.
  • Proven ability to design scalable, modular, and maintainable systems.
  • Preferred Skills :

  • Familiarity with Generative AI concepts such as RAG (Retrieval-Augmented Generation) and Tool-Calling.
  • Experience in architecting or scaling multi-tenant SaaS applications.
  • Exposure to enterprise-grade AI chatbots or conversational AI platforms.
  • Working knowledge of cloud-based deployment (AWS, GCP, or Azure).
  • (ref : hirist.tech)

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    Lead Engineer Python • Delhi, IN

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