Artificial Intelligence Engineer

Key Responsibilities

• Model Development & Training :
• Develop, train, and optimize ML and generative AI models including LLMs, transformers, diffusion models, and embedding-based models.
• Generative AI Applications :
• Build real-world generative AI applications such as chatbots, RAG systems, summarization, content generation, and agent frameworks.
• Prompt Engineering & LLM Integration :
• Apply prompt design, tuning, and evaluation techniques using tools like LangChain, LlamaIndex, or similar frameworks.
• Data Pipeline & MLOps :
• Build scalable ML pipelines for data ingestion, feature engineering, model deployment, and monitoring using MLOps best practices.
• Cloud & Infrastructure :
• Deploy models and services on AWS / GCP / Azure, leveraging containerization (Docker / Kubernetes) and GPU infrastructure.
• Research & Innovation :
• Stay current with AI research, experiment with new models, and contribute ideas for enhancements and automation.
• Documentation & Collaboration :
• Maintain clear technical documentation and collaborate with cross-functional engineering and product teams.

Required Skills & Experience