Software Engineer, AI Agents

This is a fully remote position, open to applicants in New York.

📋 Description

• Manage the deployment of production agents and automated workflows from a prioritized, validated business backlog.

• Take ownership of each workflow from the initial business scoping phase through to building, deploying, monitoring, documenting, and handing off.

• Develop Databricks data foundations, which include Unity Catalog tables and views, Lakeflow pipelines, Lakeflow Connect ingestion, and Genie spaces.

• Centralize ad-serving, partner-platform, CRM, support-desk, and finance data into a reliable lakehouse.

• Collaborate with Data Science on evaluation sets, accuracy and drift tracking, cost and latency instrumentation, audit fields, and failure alerts.

• Integrate various systems using APIs, webhooks, MCP servers, and orchestration tools such as Databricks Workflows, n8n, and GitHub Actions.

• Work alongside Core Engineering to expose platform data and functionalities as APIs.

• Develop reusable Claude skills, MCP connectors, prompt and evaluation libraries, and playbooks.

• Manage consumer data in compliance with privacy standards and utilize approved AI tools.

• Collaborate with IT and Security on credentials and access management.

• Conduct weekly demos, document progress in Confluence, and share insights through brown bags and tech talks.

• Utilize AI-assisted development tools like Claude Code and conduct reviews with GitHub Copilot.

• Deliver one complete end-to-end workflow within the first 90 days and multiple production workflows within six months.

⛳️ Requirements

• Minimum of 3 years of professional experience in software or data engineering, with a strong proficiency in Python and SQL.

• Proven experience building and launching at least one LLM-powered application or agent relied upon by real users, utilizing tool calling, retrieval, structured outputs, and evaluation techniques.

• Hands-on experience with Databricks (including Spark, Delta Lake, Unity Catalog, and Workflows) or equivalent lakehouse experience, with sufficient data engineering expertise to quickly adapt.

• Knowledge of integrating SaaS and internal systems via REST APIs, webhooks, and OAuth.

• Familiarity with testing, instrumentation, and cost management.

• Excellent communication skills with non-technical stakeholders and comfort in facilitating working sessions with business teams.

• Experience using AI coding assistants like Claude Code and GitHub Copilot.

• Bachelor's degree in computer science or a related field, or equivalent practical experience.

🏝️ Benefits

• Competitive compensation.

• Extensive career and professional growth opportunities.

• Comprehensive health, dental, and vision insurance.

• Pre-tax savings plans and transit/parking programs.

• 401K plan with an attractive employer match.

• Opportunities for volunteer and philanthropic activities throughout the year.

• Educational and social events.

• Fully stocked kitchen.

• Catered breakfast and lunch.

• Engaging events filled with activities.

• Recreational sports leagues.

• Networking opportunities with She Runs It.

• Quarterly outings to baseball games, fine dining experiences, and pizza-making classes.

• Performance-based bonuses.