We are looking for an experienced Senior Python Developer to design and develop scalable backend applications and AI-powered solutions. The ideal candidate will have strong expertise in Python, Django, FastAPI, REST APIs, and microservices, along with handson experience building or integrating Generative AI, LLM-based applications, and Agentic AI workflows.

The role involves developing enterprisegrade backend systems, integrating AI capabilities, and building intelligent applications using modern cloudnative technologies.

Key Responsibilities :

- Design, develop, and maintain scalable backend applications using Python, Django, Django REST Framework, and FastAPI.

- Build secure, highperformance RESTful APIs and microservices for enterprise applications.

- Develop and integrate LLMpowered applications, AI agents, conversational assistants, and workflow automation solutions.

- Implement RetrievalAugmented Generation (RAG) pipelines, tool calling, and agent orchestration workflows.

- Integrate external APIs, databases, and enterprise systems into AIpowered applications.

- Optimize application performance, scalability, security, and reliability.

- Collaborate with AI/ML, Product, and Platform Engineering teams to deliver productionready solutions.

- Follow best practices for code quality, testing, version control, CI/CD, and deployment.

Required Skills :

- Strong handson experience in Python backend development.

- Proficiency in Django, Django REST Framework (DRF), FastAPI, and RESTful API development.

- Experience developing or integrating Generative AI, LLMbased applications, or Agentic AI solutions.

- Knowledge of RAG, prompt engineering, tool calling, and AI workflow orchestration.

- Strong understanding of microservices, system design, distributed systems, and database management.

- Experience with Git, Docker, CI/CD pipelines, and cloud platforms such as AWS, Azure, or GCP.

- Strong problemsolving, debugging, and performance optimization skills.

Good to Have :

- Experience with data pipelines, ETL, and data modeling.

- Exposure to GPUbased AI deployments, NVIDIA GPUs, or Kubernetesbased AI workloads.

- Familiarity with frontend technologies such as JavaScript, React, or Vue.

- Experience with AI deployment optimization, monitoring, and cost management.

Candidate Profile :

Candidates should have strong backend engineering fundamentals and practical experience integrating AI capabilities into production applications. Experience in building scalable, secure, and maintainable systems is essential.