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 for efficient AI app
• Establish standards for AI deployment, observability, evaluation, monitoring, and lifecycle
• Measure AI quality, accuracy, latency, reliability, security, and cost; productionize AI

🎯 Requirements

• 5+ years of experience in data engineering, platform engineering, or related field, with production
• Strong proficiency in Python and SQL.
• Hands-on experience 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, quality, secure data access.
• Experience with Snowflake, Databricks or similar data platforms plus tools like dbt, Airflow.

🎁 Benefits

• Fully remote working environment with the flexibility to work from home.
• Ability to work from anywhere within permitted locations and time-zone range, subject to local work
• Approximately 40 days of paid time off per year, including holidays and vacation, or more where
• Mental health and wellbeing support.
• Monthly wellbeing allowance for eligible services and activities.
• Flexible parental leave, including at least three months of paid leave for new parents, per local