Senior AI Platform Engineer

📋 Description

• Design and build reusable platform capabilities supporting LLM applications, AI agents, RAG, tool
• Develop scalable data and knowledge pipelines covering ingestion, embeddings, retrieval, vector
• Build secure integrations between AI applications, enterprise data, and business systems using
• Develop reusable frameworks, libraries, services, SDKs, and developer tooling that allow
• Establish technical standards and patterns for AI deployment, observability, evaluation
• Define and improve approaches for measuring AI quality, accuracy, latency, reliability, security

🎯 Requirements

• 5+ years of professional experience in data engineering, platform engineering, backend engineering
• Strong proficiency in Python and SQL.
• Hands-on experience building and deploying production applications or services using LLMs and
• Practical experience with RAG, embeddings, vector search, tool/function calling, AI agents, or
• Strong data engineering fundamentals, including data pipelines, data modeling, data quality, and
• Experience with Snowflake, Databricks, or comparable modern data platforms, together with tools

🎁 Benefits

• Fully remote working environment with the flexibility to work from home.
• Approximately 40 days of paid time off per year, including holidays and vacation.
• Mental health and wellbeing support.
• Monthly wellbeing allowance that can be used across a broad range of eligible services and
• Flexible parental leave, including at least three months of paid leave for new parents.
• Work-from-home stipend for laptop and home office equipment.