Ai data engineer
Core
Design, develop, and optimize generative AI (LLM) solutions using agentic architectures, RAG, and advanced prompting.
Role type
AI Data Engineer (Generative AI & Agentic Systems)
Builds
Modular, cloud-native AI applications and agentic workflows
Domain
Generative AI, MLOps, Cloud Infrastructure
Deliverable
production ML models | product features
Required skills
Python, Cloud platforms (AWS/GCP/Azure), Agentic frameworks (LangGraph/Semantic Kernel), RAG & Vector Databases, CI/CD, Security (guardrails/PII), LLM evaluation metrics
Preferred skills
Deep Learning fundamentals, MCP protocol, Docker, Git dependency management, Clean code principles
Technologies
Python, AWS, GCP, Azure, LangGraph, Semantic Kernel, Vector Databases, GitHub Actions, Docker
Responsibilities
Design agentic architectures, develop prompting pipelines, integrate open-source agentic frameworks, optimize RAG solutions, define evaluation metrics, ensure production observability, apply security best practices, manage CI/CD pipelines, deploy to cloud platforms
Seniority
Mid-level, hands-on IC