Data & AI Infrastructure Engineer
Core
Design, optimize, and maintain next-generation data infrastructure, automating information flows and configuring advanced environments (MCP) to power language models (LLMs) and intelligent agents.
Role type
Data & AI Infrastructure Engineer
Builds
Automated data ingestion pipelines, Model Context Protocol (MCP) environments, vector databases, and optimized cloud data services.
Domain
Cloud infrastructure, Data Engineering, AI/ML Operations
Deliverable
production ML models | infrastructure
Required skills
Data pipeline engineering (ETL/ELT), Cloud infrastructure management, SQL query optimization, Distributed processing (Spark/Dataflow), API integration, Technical documentation
Preferred skills
Postgraduate degree in Data Science, Analytics, or Information Management
Technologies
MCP, LLMs, Vector Databases, Spark, Dataflow, Cloud Services
Responsibilities
Develop and maintain data ingestion flows; Configure MCP servers and vector databases for LLMs; Tune performance for SQL and distributed processes; Monitor cloud costs and propose optimization strategies; Integrate data APIs and microservices.
Seniority
Mid-level (2+ years experience)