Sr. Data and AI Application Engineer

MUST HAVE SKILLS: Python Snowflake SQL REST NodeJS and ReactJS

About the Role

Were looking for a senior technically curious full-stack engineer to lead development of the platform our team is building - a unified UI for Insights Audience Building and Measurement powered by large-scale data and AI.

This is a hands-on senior/lead role. Youll set technical direction own architecture decisions and work alongside other engineers on real production systems - not toy projects - spanning Snowflake data clean

rooms AI-powered chatbots lookalike audience modeling measurement analytics data insights and emerging R&D initiatives. Youll be the kind of engineer who has shipped enterprise-grade applications before and knows how to integrate cleanly with embedded third-party SaaS services without creating a fragile mess.

This role is ideal for someone who asks why does this work not just does it work - and whos energized by owning a platform end to end.

Responsibilities

* Lead the design and front-end development of our platform UI (Insights Audience Building Measurement) using React and ( preferred)

* Architect enterprise-grade systems with clean dependencies on embedded/third-party SaaS services (e.g. Snowflake Thoughtspot)

* Design and build data pipelines clean room configurations and semantic layer definitions on Snowflake

* Develop and maintain AI-powered chatbots MCP integrations and Slack/API-connected tools

* Support audience modeling workflows including model training scoring calibration and attribute enrichment and audience distribution

* Build measurement frameworks dashboards and reporting pipelines (e.g. ThoughtSpot embedded) to surface insights from large-scale datasets

* Fulfill custom data and analytics requests - segmentation overlap analysis behavioral profiling and ad-hoc pulls

* Prototype and document R&D initiatives around privacy-preserving computation and AI agent orchestration

* Set engineering conventions mentor teammates and help guide technical decisions for the platform

* Build clean documented code and manage work through Git/Bitbucket with JIRA-based branching conventions

Required Qualifications:

* BS or MS in Computer Science Data Science or Information Systems with 6 8 years of related experience

* Proven experience architecting and shipping an enterprise-level application with a polished UI and dependencies on embedded/third-party SaaS services

* 3 6 years building big-data-driven web applications with and React

* Strong proficiency in SQL - comfortable writing complex queries window functions CTEs and aggregations

* 3 6 years of Python programming - data manipulation scripting API calls and basic OOP

* Exposure to at least one cloud data platform (Snowflake BigQuery or Redshift)

* At least 3 years of REST API and data pipeline experience

* Familiarity with SSO authentication and identity concepts (e.g. AWS Cognito)

* Ability to work independently manage your own time and communicate clearly in a fully remote environment

Preferred Qualifications:

* Experience building with GenAI coding and agentic developer tools (e.g. Amazon Kiro Claude Code Cursor Copilot or agent orchestration frameworks) - a big plus

* Hands-on experience with Snowflake Cortex Snowpark or Streamlit

* Familiarity with LLM APIs (Anthropic Claude OpenAI) and prompt engineering patterns

* Exposure to ML classification models feature engineering Platt calibration or model evaluation techniques

* Knowledge of data privacy concepts - data clean rooms differential privacy or privacy-enhancing technologies (PETs)

* Experience with Slack Bolt AWS EC2 or deploying Python applications to cloud infrastructure

* Familiarity with MCP servers or AI agent orches

Tech Stack Youll Touch

Snowflake Snowpark Python Snowflake Cortex Streamlit Python SQL ThoughtSpot BI React AWS Cognito Claude API Model Context Protocol (MCP) Slack Bolt AWS EC2 Bitbucket JIRA

plus modern GenAI coding tools.