Bangalore, Karnataka, India
Information Technology
Full-Time
360 Degree Cloud
Overview
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
✅ Core Backend Development
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.
✅ 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
- 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)
- Experience deploying applications on AWS, Azure, or GCP
- Docker & Kubernetes knowledge for scalable deployments
- Familiar with Git, CI/CD pipelines, Nginx, Gunicorn/Uvicorn
- Experience with real-time systems (SIP/WebRTC/VoIP)
- Knowledge of GraphQL, gRPC
- Background in audio/speech processing, ASR, or transcription APIs
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