XO

Sr. Data & AI Application Engineer

Job summary

New York
Engineering

Work model

Fully remote
Only United States
1 week ago
Job description

Position Details

  • Location: Remote
  • Duration: 6 Months Contract to Hire

About the Role

We're 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. You'll 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. You'll 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 who's 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 Node.js (Next.js 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 Node.js, Next.js, 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 orchestration frameworks
  • Experience working with large-scale behavioral or transaction datasets (100M rows)
  • Background in Adtech/Martech, marketing analytics, audience segmentation, or measurement --- not required, but a strong bonus, since it's the vertical our platform serves

Tech Stack

Snowflake, Snowpark Python, Snowflake Cortex, Streamlit, Python, SQL, ThoughtSpot BI, Next.js, React, Node.js, AWS Cognito, Claude API, Model Context Protocol (MCP), Slack Bolt, AWS EC2, Bitbucket, JIRA, plus modern GenAI coding tools.