AI Backend Developer - Python/FastAPI - RAG Impmentation (2-4 yrs)

Office Timings : 10 : 30 am to 7 : 30 pm - Monday to Saturday (All Saturdays Working)

Experience : 2+ years preferred

About the Role :

We are seeking an experienced AI Backend Developer to develop and optimize backend infrastructure for AI-driven applications, with a strong focus on Retrieval-Augmented Generation (RAG) for improved LLM inference. The role requires expertise in API development, database management, vector storage solutions, and cloud deployment.

Candidates with experience in vector databases like LanceDB and RAG pipeline implementation will be highly preferred.

Key Responsibilities :

- Develop and maintain high-performance FastAPI (Python) applications.

- Design and optimize APIs for AI model integration and inferencing.

- Implement RAG-based architectures for enhancing LLM inference.

- Work with vector databases, including LanceDB, Pinecone, Weaviate, FAISS, forefficient AI search and retrieval.

- Manage databases, including PostgreSQL (SQL) and MongoDB (NoSQL), for structured and unstructured data storage.

- Develop efficient data retrieval and updating mechanisms for optimized AI performance.

- Deploy and manage applications on AWS, Google Cloud, or Azure.

- Ensure backend systems are scalable, secure, and optimized for performance.

- Collaborate closely with AI/ML engineers, frontend developers, and DevOps teams.

Skills & Qualifications :

Required :

- Proficiency in FastAPI (Python) for RESTful API development.

- Strong experience with PostgreSQL and MongoDB database management.

- Hands-on experience with RAG-based architectures for AI-driven retrieval and inferencing.

- Knowledge of vector storage systems, including LanceDB, Pinecone, Weaviate, and FAISS.

- Cloud deployment expertise on AWS, Google Cloud, or Azure.

- Solid understanding of authentication, authorization, and API security best practices.

Preferred :

- Experience with Celery or RabbitMQ for asynchronous task processing.

- Familiarity with GraphQL for API development.

- Hands-on experience with Docker and Kubernetes for containerized deployment.

- Knowledge of LLM-based AI applications, including OpenAI, LangChain, and other generative AI frameworks.

Why Join Us :

- Opportunity to work on cutting-edge AI applications with RAG-powered enhancements.

- Collaborate with a highly skilled technical team on advanced AI and backend development projects.

- Competitive salary with growth opportunities.

- Exposure to the latest cloud, AI, and retrieval-augmented generation technologies.

- This position offers a challenging yet rewarding opportunity for a backend developer looking to advance AI-driven solutions using FastAPI, RAG, and vector-based retrieval models.