Role

Design, develop and deploy AI solutions using Large Language Models (LLMs),

Retrieval-Augmented Generation (RAG) and AI Agents while collaborating with cross-functional teams.

Key Responsibilities

- Build AI microservices using Python and FastAPI.
- Develop and optimise RAG systems.
- Integrate Google Generative AI SDK and OpenAI SDK.
- Work with vector databases and MongoDB.
- Write clean, scalable, maintainable code.
- Collaborate with engineering and product teams.
- Participate in design and code reviews.

Required Skills:

- Python, FastAPI/Flask, RAG, embeddings, chunking, retrieval pipelines, Google Gen AI SDK,OpenAI SDK, Transformers, CNN, KNN, Pinecone/Qdrant, MongoDB, API security, authentication,data privacy.

Preferred Skills

- LangChain, LlamaIndex, multimodal models, fine-tuning, hybrid retrieval, Docker, AWS, CI/CD,Redis, Node.js.

Soft Skills

- Problem solving, ownership, collaboration, communication, quick learner, product mindset.

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