Altimate AI builds autonomous AI teammates for data and analytics engineers, deployed directly into their daily tools (VS Code, Git, Slack). The stack reflects a mature ML-ops foundation—Python, PyTorch, TensorFlow, Hugging Face, plus Snowflake, dbt, and Airflow for data pipelines—with RAG now being adopted to extend agent reasoning. Early-stage hiring is heavily tilted toward senior and staff engineers (18 of 25 open roles), signaling a focus on deepening agent architecture and model customization rather than broad team scaling.
Altimate AI builds AI agents that autonomously assist data and analytics engineers on repetitive and exploratory tasks. The product is embedded into development and collaboration workflows—IDE extensions, Git, Slack—rather than requiring context-switching to a separate platform. The company is used by hundreds of organizations worldwide and operates at the intersection of generative AI, data engineering, and developer tools. Active projects span agent design, RAG pipeline implementation, platform deployments, and customer onboarding. The team is based in Sunnyvale and also hires in India.
Core stack: Python, SQL, PyTorch, TensorFlow, Hugging Face, Snowflake, dbt, Apache Airflow, AWS, Kubernetes, Docker. Frontend: React, TypeScript, VS Code. MLOps: RAG (recently adopting). Also uses Databricks, Azure, GCP, and Slack integration.
Core products include DataPilot, a VS Code extension, and the Datamates AI agent technology. Active development on RAG pipelines, intelligent agent architectures, customer deployments, and onboarding workflows. Also running multi-channel demand generation and SQL-based custom solutions for customers.
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