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.
- Robust 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).

📌 AI/ML Engineer - Generative AI (India)
🏢 TalentLo
📍 India