AI Engineer
Core
Design, build, and operate production-grade AI solutions combining backend engineering with large language model capabilities for mid- to large-sized enterprises.
Role type
AI Engineer (LLMOps & Backend)
Builds
Production-grade AI solutions, APIs, evaluation pipelines, and LLMOps tools
Domain
Enterprise software, Cloud Native, Large Language Models
Required skills
Backend engineering, Large Language Model integration, Data platform design, Cloud platform expertise, SQL, Python or Scala, Data pipeline optimization, Data modeling (Data Vault, Data Mesh, Kimball, Inmon), Client requirement gathering
Preferred skills
Microsoft Fabric, Delta Lake, Lakehouse architecture, CI/CD for data pipelines, Data cataloging tools, Privacy regulations (GDPR, CCPA)
Technologies
Azure, AWS, GCP, Azure Data Factory, DBT, Python, Scala
Responsibilities
Design and conceptualize modern data platforms for large-scale data integration and processing; Plan and implement backend services using modern frameworks for data provisioning; Independently optimize pipelines and integrate them into cloud platforms; Implement tools to ensure data quality, cleansing, and provision of aggregated data; Gather and specify requirements from clients
Seniority
Mid-level to Senior, hands-on IC
