Platform AI Engineer

📋 Description

• Design and build reusable AI platform capabilities used across multiple products.
• Architect and implement production-grade agentic systems, including multi-agent workflows, tool
• Design and build internal AI platforms such as organizational knowledge (“Brain”), AI developer
• Research, evaluate and integrate emerging AI models, frameworks and developer tools into the
• Collaborate closely with Data Science teams to transform research into scalable production-ready AI
• Design end-to-end AI architectures, from data ingestion and retrieval to orchestration, model

🎯 Requirements

• B.Sc in Computer Science or a related field.
• 5+ years of backend software engineering experience.
• 3+ years of hands-on experience building production AI systems.
• Strong Python development experience – Must.
• Hands-on experience with Kubernetes, Docker and deploying production workloads in cloud-native
• Hands-on experience with CI/CD pipelines, GitOps workflows and modern software delivery practices –

🎁 Benefits