Role & Responsibilities :

- Develop and enhance Generative AI applications using LLMs and AI frameworks.

- Build and optimize RAG pipelines, vector search, and AI-powered workflows.

- Deploy, monitor, and maintain AI solutions in cloud and containerized environments.

- Ensure code quality through testing, debugging, documentation, and code reviews.

- Follow Responsible AI, security, and data governance practices.

Requirements :

- Minimum 5+ years of overall experience.

- Strong hands-on experience in Machine Learning using at least one cloud platform : GCP, AWS, or Azure.

- GCP experience will be a significant advantage.

Tech Stack & Skills :

- Python, OOP, APIs, debugging, and software development best practices.

- Data Structures & Algorithms, complexity analysis, and problem-solving.

- LLMs, Prompt Engineering, RAG, AI Agents, and embeddings.

- LangChain, LangGraph, LlamaIndex, Hugging Face, or similar frameworks.

- Vector databases, semantic/hybrid search, and retrieval architectures.

- PyTorch, TensorFlow, or Keras.

- Docker, Git, CI/CD, and cloud platforms (Azure/AWS/GCP).