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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Sr. Data & AI Application Engineer (59_2026.2) - **Company:** Affinity, Inc. - **Location:** New York, NY, United States (Remote available) - **Experience:** Expert - **Salary:** $165,000.0 - $180,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Amazon Elastic Compute Cloud, Software Applications, ARM Architecture, JIRA, User Authentication, Big Data, BigQuery, Software as a Service, Software Quality, Information Systems, Cursor (Graphical User Interface Elements), Programming Tools, Python (Programming Language), Machine Learning, Node.Js, Object-Oriented Software Development, Cloud Services, Next.js, SQL Databases, Data Processing, Scripting, Feature Engineering, Chatbots, ReactJS, Large Language Models, Snowflake, Multi-Agent Systems, Generative AI, Git, Data Layers, Information Technology, Bitbucket, Front End Software Development, Virtual Agents, Restful APIs, Streamlit Framework, Data Pipelines - **Published:** June 17, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=f806f106f4163da9 ## About the Role * BS or MS in Computer Science, Data Science, or Information Systems * 6-8 years of proven experience architecting and shipping an enterprise-level application with a polished UI and dependencies on embedded/third-party SaaS services * 3-6 years experience with Node.js, Next.js, and React * Strong SQL expertise including CTEs, window functions, and complex aggregations * 3-6 years of Python experience (data processing, scripting, APIs, OOP) * Experience with cloud data platforms (Snowflake, BigQuery, or Redshift) * At least 3 years building REST APIs and data pipelines * Familiarity with authentication/SSO systems (e.g., AWS Cognito) Preferred: * Experience with GenAI developer tools (e.g., Copilot, Cursor, Claude Code) or agent frameworks * Hands-on experience with Snowflake Cortex, Snowpark, or Streamlit * Familiarity with LLM APIs (OpenAI, Anthropic Claude) and prompt patterns * Experience with ML models (classification, feature engineering, calibration techniques) * Knowledge of data privacy frameworks (clean rooms, differential privacy, PETs) * Experience with Slack Bolt, AWS EC2, and deploying Python services * Familiarity with MCP servers or AI agent orchestration * Experience analyzing large-scale datasets (100M+ rows) * Background in AdTech, MarTech, audience segmentation, or marketing analytics Tech Stack: Snowflake, Snowpark, Snowflake Cortex, Streamlit, Python, SQL, ThoughtSpot, Next.js, React, Node.js, AWS Cognito, Claude API, MCP, Slack Bolt, AWS EC2, Bitbucket, JIRA, GenAI tools ## Description * Lead front-end architecture and development using React and Next.js (Node.js) * Design and implement enterprise-grade systems integrating with third-party platforms (e.g., Snowflake, ThoughtSpot) * Build and manage data pipelines, Snowflake clean rooms, and semantic layers * Develop AI-powered applications, including chatbots, MCP integrations, and API-connected tools * Support audience modeling workflows including model training, scoring, calibration, and enrichment * Build measurement frameworks and embedded BI dashboards (e.g., ThoughtSpot) * Execute custom analytics requests: segmentation, overlap analysis, behavioral profiling, and ad hoc data pulls * Prototype R&D initiatives in privacy-preserving technologies and AI agent orchestration * Establish engineering standards, contribute to code quality, and guide architectural decisions * Manage development processes using Git/Bitbucket and JIRA branching workflows ## Related Videos - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Improving quality with Agentic AI with Rovo Dev and Xray](https://www.wearedevelopers.com/videos/2005-improving-quality-with-agentic-ai-with-rovo-dev-and-xray) - [Stop using Node.js like in 2020! 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