Senior AI Engineer

Key Responsibilities:

• Design and implement Generative AI applications using LLMs, RAG (Retrieval-Augmented Generation), and Agentic AI frameworks.
• Develop and fine-tune LLMs leveraging frameworks such as LangChain, Hugging Face Transformers, and LangGraph.
• Build prompt engineering pipelines and ensure optimal model performance for specific business use cases.
• Implement MLOps practices for model versioning, training automation, and continuous integration using MLflow, AWS SageMaker, or Azure ML.
• Architect and optimize vector database integrations (e.g., FAISS, Pinecone, Chroma, Weaviate).
• Work closely with data engineers and product teams to operationalize AI workflows.
• Deploy, monitor, and optimize AI/ML models in production on AWS / Azure environments.
• Ensure AI governance, security, and ethical compliance across all AI deployments.
• Collaborate with cross-functional teams to evaluate new tools, frameworks, and libraries in the Generative AI space