AI Engineer
Core
Design, develop, and deploy AI-powered agentic systems and intelligent automation solutions on Azure cloud infrastructure.
Role type
AI Engineer (GenAI/LLM focus)
Builds
AI/ML models, agent-based systems, and scalable automation workflows
Domain
Enterprise AI / Cloud Infrastructure
Deliverable
production ML models
Required skills
Python, SQL, Azure cloud services, Azure Databricks/PySpark, CI/CD pipelines, Machine Learning, Deep Learning, Large Language Models (LLMs), Prompt Engineering, Retrieval-Augmented Generation (RAG), Transformer-based models
Preferred skills
MLOps tools, Microservices architecture, Monitoring tools, Azure certifications
Technologies
Azure OpenAI, Azure Functions, Azure ML, Azure Databricks, Apache Spark, Azure DevOps, GitHub Actions, Docker, Scikit-learn, TensorFlow, PyTorch, Transformers
Responsibilities
Design and develop AI-powered applications and agent-based systems; Build and deploy AI/ML solutions using Azure services; Develop data processing and ML workflows; Implement and manage CI/CD pipelines; Work on LLM-based solutions including prompt engineering and RAG architectures; Perform model development tasks including data preprocessing, feature engineering, model training, and evaluation; Optimize model performance, scalability, and cost-efficiency; Implement monitoring, logging, and observability for AI systems
Seniority
Mid-level (2+ years experience)