Senior AI Platform Engineer

📋 Description

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

🎯 Requirements

• 5+ years of experience in data engineering, platform/backend engineering, or related field with
• Strong proficiency in Python and SQL.
• Hands-on experience building and deploying production apps/services using LLMs and generative AI.
• Experience with RAG, embeddings, vector search, tool/function calling, AI agents, or enterprise
• Strong data engineering fundamentals: pipelines, modeling, data quality, secure data access.
• Experience with Snowflake, Databricks or comparable data platforms, plus dbt, Airflow, or similar

🎁 Benefits

• Fully remote work environment with flexibility to work from home.
• Work from anywhere within permitted locations and time-zone range, subject to local authorization.
• Approx. 40 days of paid time off per year, plus holidays and vacation where required by local law.
• Mental health and wellbeing support; monthly wellbeing allowance.
• Flexible parental leave; at least three months paid leave for new parents where applicable.
• Work-from-home stipend for laptop and home office equipment.