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Senior Python Developer

Senior Python Developer

TIH | IIT Bombayhyderabad, India
1 day ago
Job description

Job Description :

  • Hands-on Development & Technical Leadership
  • Write clean, efficient, and scalable Python code for AI-driven applications (backend & front end).
  • Actively contributes to core modules and critical components of the system.
  • Guide the team members in solving complex coding challenges and debugging.
  • Lead development efforts involving Generative AI, LLMs, RAG, LangChain, etc.
  • Solution Design & Deployment
  • Architect & design scalable, secure, and maintainable Python-based systems.
  • Evaluate trade-offs in design decisions and document technical approaches.
  • Develop modular & scalable architecture-based solutions on cloud (AWS / Azure). Must demonstrate strong experience in microservices & docker / Kubernetes deployment.
  • Demonstrate use of advanced python concepts, multi-threading & multi-processing & guide team on the same.
  • Design AI workflows and pipelines integrating ML models, LLMs and RAG.
  • ScrumMaster & Team Leadership
  • Project Estimation & Planning - Collaborate with stakeholders to define scope, timelines, and resource needs.
  • Break down requirements into actionable tasks (features & stories) and estimate effort accurately.
  • Track progress and adjust plans to meet delivery goals.
  • Facilitate agile ceremonies and foster a collaborative team culture.
  • Code Review & Quality Assurance
  • Conduct thorough code reviews to ensure adherence to coding standards.
  • Promote best practices in design, coding, testing, documentation, and CI / CD.
  • Mentor team members on architecture, deployment, design patterns, performance optimization, and clean code.

Minimum Qualifications and Experience :

  • Bachelor’s or Master’s degree in computer science with 7+ years of Python development experience, with 2+ years in a leadership role.
  • Required Skills :

  • Strong understanding of Python frameworks (FastAPI, Django, Flask) & advanced python concepts, multithreading & multiprocessing.
  • Proven experience in estimation, architecture, design, and code reviews.
  • Hands-on experience with Generative AI, LLMs (e.g., OpenAI, Hugging Face Transformers), and LangChain.
  • Experience implementing RAG pipelines and retrieval-based AI systems.
  • Experience with cloud platforms (AWS or Azure) and containerization (Docker, Kubernetes).
  • Excellent communication and stakeholder management skills.
  • Good to have - Experience with AI / ML libraries (TensorFlow, PyTorch, Scikit-learn).
  • Experience in deploying AI models to production.
  • Exposure to MLOps tools and practices.
  • Domain knowledge in fintech, NBFCs, or enterprise AI solutions.
  • Contributions to open-source or technical publications.
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