Python Developer AI

You have a Full-time, On-site Job opportunity available in Thiruvananthapuram, Kerala that requires a minimum of 6 years of experience in Python development with a specialization in AI-driven applications. Your role will involve utilizing your strong expertise in FastAPI for high-performance backend development. Additionally, you should have experience working with LLMs (GPT, Llama, Claude, etc.) and AI model deployment. Hands-on experience with LangChain for AI-driven workflows is essential, as well as familiarity with vector databases such as FAISS, Pine cone, Weaviate, ChromaDB, etc. Knowledge of RESTful APIs, GraphQL, and authentication mechanisms is required for this position. You should also be familiar with Hugging Face, OpenAI APIs, and fine-tuning LLMs. Experience in asynchronous programming, multiprocessing, and performance tuning will be beneficial. Strong problem-solving skills, debugging expertise, and experience in Agile/Scrum methodologies are also valuable assets. Your key responsibilities will include developing and integrating LLMs into the WayVida platform using LangChain, designing, developing, and optimizing scalable FastAPI services for AI-driven applications, as well as building and maintaining high-performance APIs to support AI-based functionalities. You will work with large-scale datasets for training and fine-tuning LLMs, and be responsible for improving system efficiency, response times, and model inference speeds. Collaboration with AI & Product Teams to deploy AI solutions effectively, implementing best practices for secure API design, data privacy, and compliance, and ensuring high-quality, maintainable, and well-documented code following CI/CD best practices are also part of your role. Preferred qualifications for this position include experience in AI-driven EdTech platforms, knowledge of retrieval-augmented generation (RAG) and prompt engineering, familiarity with Docker, Kubernetes, and cloud deployment (Azure, AWS, GCP), as well as exposure to MLOps, model versioning, and continuous AI deployments.,