Senior AI Platform Engineer

📋 Description

• Design and build reusable platform capabilities supporting LLM apps, AI agents, RAG, tool calling
• Develop scalable data and knowledge pipelines for ingestion, embeddings, retrieval, vector search
• Build secure integrations between AI applications, enterprise data, and business systems via APIs
• Develop reusable frameworks, libraries, services, SDKs, and tooling for efficient AI development.
• Establish standards for AI deployment, observability, evaluation, monitoring, and lifecycle
• Translate ambiguous AI opportunities into practical, scalable engineering solutions and production

🎯 Requirements

• 5+ years in data/platform/backend engineering with production systems experience.
• Strong Python and SQL proficiency.
• Hands-on experience building/ deploying production apps with LLMs and generative AI.
• Practical experience with RAG, embeddings, vector search, tool/function calling, AI agents, or
• Experience with modern data platforms (Snowflake, Databricks) and tooling (dbt, Airflow).

🎁 Benefits

• Fully remote working environment with flexibility to work from home.
• Work from anywhere within permitted locations/time zones with local authorization.
• Approximately 40 days of paid time off per year, plus holidays.
• Mental health and wellbeing support and wellbeing stipend.
• Flexible parental leave and home office stipend.
• Asynchronous, globally distributed team with emphasis on autonomy and impact.