Senior AI & Cloud Engineer
Core
Design, build, and operate intelligent data and AI systems on Azure, bridging cloud infrastructure, data engineering, and applied AI to create production-grade pipelines and AI-assisted applications.
Role type
Senior IC AI & Cloud Engineer
Builds
Production-grade data pipelines, RAG systems, AI-assisted workflows, and microservices on Azure
Domain
Cloud Infrastructure (Azure) + Applied AI / Data Engineering
Deliverable
production ML models
Required skills
Python, Azure cloud services, Databricks, RAG architectures, vector databases, prompt engineering, MCP integrations, CI/CD pipelines
Preferred skills
Model fine-tuning, AI observability, safety guardrails, mentoring
Technologies
Azure Data Lake, Azure Container Apps, Azure Blob Storage, Azure OpenAI Service, Databricks, Delta Lake, Spark, MLflow, Azure AI Search, Chroma, Weaviate, pgvector, OpenAI, Anthropic, GitHub Actions, Azure DevOps
Responsibilities
Design and deploy scalable data and AI pipelines on Azure; Build RAG systems and AI-assisted workflows; Develop and maintain Python-based applications and microservices; Apply prompt engineering techniques to deliver production-ready AI features; Implement and maintain MCP integrations; Participate in model fine-tuning and evaluation; Establish best practices for AI observability and safety; Collaborate with stakeholders to translate requirements into engineering solutions; Mentor junior engineers and contribute to architectural decisions
Seniority
Senior, hands-on IC