Senior Python Full-Stack Developer (with AI Experience) 4Yr

Job Title: Python Full-Stack Developer (with AI Experience)

Experience:

Location:

Type:

Python Full-Stack Developer

🔑 Key Responsibilities

• Develop, deploy, and maintain end-to-end features across the full stack (frontend, backend, and integrations).
• Build responsive and scalable applications using

  React

  (modern hooks, component-driven architecture).
• Design and implement backend services using

  Python

  frameworks such as

  FastAPI, Flask, or Django

  .
• Work with

  REST/gRPC APIs

  , service design patterns, and data modeling best practices.
• Integrate and experiment with modern

  AI developer tools

  (e.g., Claude Code, Codex, Bolt, Lovable) to enhance workflows and application capabilities.
• Collaborate with DevOps teams on

  CI/CD

  , containerization (

  Docker

  , Kubernetes), and deployment pipelines.
• Implement monitoring, logging, and observability best practices to ensure system reliability.
• Work closely with cross-functional teams to deliver high-quality features and improvements.

🛠️ Required Skills & Experience

• 3+ years

  of experience as a Full-Stack Developer with production system exposure.
• Strong proficiency in

  React

  with modern hooks and component architecture.
• Solid backend development experience using

  Python

  with frameworks like FastAPI / Flask / Django.
• Strong understanding of

  REST/gRPC APIs

  , service-oriented architectures, and database schema design.
• Practical experience or strong interest in

  AI-based developer tools

  and modern coding assistants.
• Experience with

  CI/CD pipelines

  ,

  Docker

  ,

  Kubernetes

  , and observability tooling (Grafana, Prometheus, etc.).
• Proficiency in

  Git

  and structured version control workflows.
• Excellent analytical thinking, debugging skills, and attention to detail.
• Strong communication and collaboration abilities within technical teams.

📌 Nice to Have

• Experience working with vector databases, embeddings, or LLM-based application development.
• Exposure to cloud platforms (AWS / GCP / Azure).
• Understanding of microservices or event-driven architecture.