We are looking for a highly skilled Senior Python Developer with strong backend development expertise and working knowledge in integrating AI/ML models, especially around LLMs and modern NLP applications. This role requires strong hands-on experience with FastAPI, RESTful services, SQL/NoSQL databases, and practical exposure to AI/ML technologies such as TensorFlow, PyTorch, LangChain, and RAG pipelines.

Key Responsibilities :

- Design, develop, and maintain scalable RESTful APIs using FastAPI/Django/Flask.

- Integrate backend systems with AI/ML models including LLMs, vector databases, and RAG-based pipelines.

- Collaborate with Data Scientists and AI Engineers to deploy NLP models into production.

- Build and manage asynchronous tasks, WebSocket handlers, and background jobs.

- Optimize and refactor legacy code for performance and maintainability.

- Work with DevOps to deploy microservices securely using containers (Docker) and CI/CD pipelines.

- Design database schemas, write performant queries (SQL/ORM), and manage data migrations.

Required Skills & Experience :

Core Backend Development :

- 5+ years of experience with Python 3.7+

- Strong knowledge of FastAPI (preferred), Flask, or Django REST Framework

- Proficient in developing RESTful APIs, authentication mechanisms (OAuth2, JWT)

- Experience with SQL (PostgreSQL, MariaDB, MySQL) and ORMs like SQLAlchemy

- Familiar with NoSQL (MongoDB, Redis) and caching techniques

- Writing unit/integration tests with Pytest, unittest

AI/ML/NLP Experience :

- Hands-on with TensorFlow or PyTorch for model training/inference

- Experience with Natural Language Processing (NLP) techniques

- Familiarity with LLMs like OpenAI GPT, Cohere, Mistral, or LLaMA

- Understanding of RAG (Retrieval Augmented Generation) and tools like LangChain, Haystack

- Knowledge of vector databases (Pinecone, FAISS, Weaviate)

Cloud & DevOps (Good to Have) :

- Experience deploying applications on AWS, Azure, or GCP

- Docker & Kubernetes knowledge for scalable deployments

- Familiar with Git, CI/CD pipelines, Nginx, Gunicorn/Uvicorn

Bonus Points :

- Experience with real-time systems (SIP/WebRTC/VoIP)

- Knowledge of GraphQL, gRPC

- Background in audio/speech processing, ASR, or transcription APIs