AI Transformation Engineer

The role

You will build production LLM workflows, APIs and data pipelines in 30 to 60 day transformation sprints with department teams. Each sprint ends with a handoff to the team that owns the outcome.

What you will do

• Build and run production LLM workflows in n8n and similar platforms, including retrieval, answer drafting and routing.
• Build APIs, integrations and data pipelines that connect CRM, support and operational systems.
• Build and calibrate confidence scoring and design review steps and approval gates.
• Protect sensitive data: scope access, handle PII and keep access logs.
• Define evals, test sets and quality thresholds before each build.
• Track LLM spend and usage by team and manage API keys.
• Pair-build with embedded team members so they learn by doing.
• Write runbooks, admin guides, architecture diagrams and decision logs.
• Design integration patterns and data flows across systems.
• Spot automation opportunities and estimate effort honestly.

Required qualifications

• 3 to 8 years in software engineering, integration development or automation engineering.
• Production experience with a workflow platform such as n8n, Zapier or Tray.io.
• Experience designing reliable autonomous agents, including tool calling, orchestration, guardrails and human escalation.
• Python or TypeScript, API design skills, and understanding of monitoring, error handling, version control and deployment.
• Hands-on production use of LLM APIs (Anthropic, OpenAI or Google), including prompt design and structured outputs.
• Retrieval experience with vector databases such as Qdrant or pgvector, including chunking and grounding.
• Experience measuring LLM output quality with test sets, graded review or evals.
• Experience handling sensitive data in production systems: PII, permissions and audit logging.
• A teaching instinct and documentation discipline.
• Ability to explain trade-offs to non-technical stakeholders without jargon.

Nice to have

• MCP servers, agent frameworks or tool-calling design.
• Experience governing a shared LLM cost budget or API keys.
• CRM systems (Salesforce, HubSpot), data engineering or ETL, and warehouse analytics such as Snowflake.
• Familiarity with support, customer success or professional services operations.
• Experience building internal tools where the users are colleagues.
• Training, facilitation or mentoring experience.
• Comfort in ambiguous environments where requirements evolve.

Benefits

• Medical, dental and vision benefits.
• Life insurance.
• Short term and long-term disability.
• 401(k) retirement plan.
• Vacation and sick leave.
• Variable pay programs based on performance relative to goals and targets.

Before you apply

• Yext communications come only from @yext.com email addresses; report messages from other domains to security@yext.com.

About the company

Yext is an enterprise agentic marketing platform (NYSE: YEXT) that helps brands manage and optimize visibility across AI and traditional search. Thousands of brands and partners in financial services, healthcare, retail, hospitality and food use it.