AI Engineer

About the job

Requirements: • 2+ years of experience in building production-scale data pipelines and orchestration systems. • Demonstrated success in cross-functional collaboration in technical environments. Preferred Qualifications: • Familiarity with managing Kubernetes-based production workloads and workflow orchestration (Argo). • Familiarity with containerisation and orchestration with tools like Docker, Kubernetes, etc. • Familiarity with synthetic or large-scale data generation. • Background in enterprise software integration. • Experience with Model Control Protocol (MCP) or similar orchestration frameworks. • Knowledge of automated testing frameworks for data pipelines. Technical Skills: • Programming: Proficiency in Python, Typescript (optional). • Data Engineering: Experience in data engineering frameworks and libraries (Pandas, Apache Airflow, Prefect). • APIs and Integration: Strong background in REST APIs and system integration. • Databases: Experience with relational and NoSQL databases (PostgreSQL, MongoDB). • Cloud Platforms: Hands-on experience with AWS/GCP/Azure.

Requirements

• Data Pipelines
• Orchestration Systems
• Kubernetes
• Python
• Data Engineering

Preferred Technologies

• Data Pipelines
• Orchestration Systems
• Kubernetes
• Python
• Data Engineering