Generative AI Engineer
Core
Design, develop, and deploy AI/ML and Generative AI solutions, including building and optimizing machine learning models for prediction, classification, and automation.
Role type
Generative AI Engineer
Builds
AI applications using Large Language Models and RAG frameworks, AI agents, chatbots, and intelligent automation workflows
Domain
Generative AI, Large Language Models, RAG architectures
Deliverable
production ML models | product features
Required skills
Python, Machine Learning, Deep Learning, Generative AI, LLMs, Prompt Engineering, LangChain, LlamaIndex, Hugging Face Transformers, PyTorch, TensorFlow, OpenAI APIs, Azure OpenAI APIs, RAG architectures, vector databases, embeddings, REST APIs, microservices, Git, CI/CD
Preferred skills
AI agents, cloud platforms, MLOps, NLP, Computer Vision, Conversational AI
Technologies
LangChain, LlamaIndex, Hugging Face Transformers, PyTorch, TensorFlow, OpenAI, Azure OpenAI
Responsibilities
Design, develop, and deploy AI/ML and Generative AI solutions; Build and optimize machine learning models for prediction, classification, and automation; Develop AI applications using Large Language Models and RAG frameworks; Create and maintain AI agents, chatbots, and intelligent automation workflows; Fine-tune and evaluate AI models for accuracy, scalability, and performance; Apply responsible AI practices, including security, privacy, and ethical considerations
Seniority
Mid-level (2–4 years experience)
