Forward Deployed Engineer (AI)

Location: Remote in the US; ability to work from the New York office is a plus.

Company

hirify.global is a Series B AI company developing Nadia, a personalized coaching and talent system for enterprise organizations.

What you will do

• Build and ship custom integrations connecting ServiceNow, Snowflake, custom data lakes, internal APIs, SFTP feeds, and other data sources to Nadia.
• Work with customer engineers, data owners, and IT teams to obtain access, define field mappings, and test integrations against real data.
• Own data quality, including identity matching, unit and definition drift, duplicates, late or restated data, terminations, and deletions.
• Implement privacy and works-council commitments through allowlisted fields, country-specific rules, least-privilege access, data minimization, and clean deletion.
• Operate delivered integrations in production with monitoring, alerting, incident response, and runbooks.
• Partner with core Engineering and account teams to turn recurring custom work into reusable connectors and identify technically grounded expansion opportunities.

Requirements

• 4+ years of software engineering experience, including 2+ years building production integrations or data pipelines on which customers depended.
• Strong Python or TypeScript skills and the ability to write clean, tested, maintainable code.
• Hands-on experience with REST and SOAP APIs, pagination, rate limits, OAuth, service accounts, SFTP, batch feeds, webhooks, incremental synchronization, and idempotency.
• Strong data modeling judgment, including identifying identity, unit, and duplicate issues in messy exports before production.
• Experience working directly with customers' technical teams and routing out-of-scope requests appropriately.
• Production practices including privacy-safe logging, retries with backoff, alerting, and runbooks.
• AI fluency: daily use of coding agents and the ability to explain LLM context, grounding, evaluation, and failure modes.
• Privacy and security mindset, including understanding least privilege, data minimization, and data residency for sensitive employee data.

Nice to have

• Experience with Workday, ServiceNow, Snowflake, or Databricks APIs and data models.
• Experience with Microsoft Azure, Teams apps, or the Microsoft 365 ecosystem.
• Experience building evaluation sets or quality checks for LLM features.
• Experience as a forward deployed, solutions, or implementation engineer at a growth-stage company.
• Experience with EU employee-data requirements such as GDPR or works agreements.

Culture & Benefits

• Full-time role requiring a high level of focus, availability, and commitment; concurrent full-time employment is not permitted.
• Outside consulting, advisory, freelance, or other professional work must be disclosed and approved in advance and must not interfere with responsibilities or create conflicts.
• Ownership of company-defining projects, direct exposure to executive decision-making, and influence through customer feedback.
• Work with AI models and enterprise AI implementations across Fortune 500 companies and multiple industries.
• Competitive base salary and bonuses, health coverage from day one, generous PTO, company-wide shutdowns, paid parental leave, retirement support, and equity.
• Employment is contingent on successful verification of identity, employment history, education, references, and other relevant information.

Hiring process

• Employment is subject to third-party verification checks; misrepresentation may result in withdrawal of an offer or termination.
• Outside professional work and potential conflicts must be disclosed and approved before employment.