11 hours ago
Base Salary
$143k - $214k/yr
Responsibilities
- Build and operate production LLM workflows in n8n and similar platforms for retrieval, answer drafting, routing, and automation.
- Develop APIs, integrations, and data pipelines connecting CRM, support, and operational systems.
- Design confidence scoring, evaluation sets, groundedness and accuracy checks, human review steps, approval gates, and quality thresholds.
- Protect sensitive data through scoped access, PII handling, permissions, and audit logging.
- Ship monitored, error-handled, version-controlled, and deployable systems.
- Track LLM usage and spend by team, manage API keys, and report run rate.
- Pair-build with department team members, write runbooks and architecture documentation, and train internal champions for operational handoff.
- Design system architectures and data flows, evaluate models and tools, and make build-versus-buy recommendations.
- Identify automation and integration opportunities, translate technical possibilities for stakeholders, and scope work against measurable business outcomes.
Requirements
- 5 to 8 years of experience in software engineering, integration development, or automation engineering.
- Production experience with workflow platforms such as n8n, Zapier, or Tray.io.
- Experience designing reliable autonomous agents using tool calling, orchestration, guardrails, human escalation, and evaluation feedback loops.
- Python or TypeScript experience, API design skills, and understanding of monitoring, error handling, version control, and deployment discipline.
- Hands-on production experience with LLM APIs from Anthropic, OpenAI, or Google, including prompt design and structured outputs.
- Experience with retrieval, vector databases such as Qdrant or pgvector, chunking, and grounding.
- Experience measuring LLM output quality using test sets, graded review, or evaluations.
- Experience handling PII, permissions, audit logging, and other sensitive data in production systems.
- Strong documentation, teaching, facilitation, mentoring, and communication skills for technical and non-technical stakeholders.
- Bonus experience with MCP servers, agent frameworks, tool-calling design, shared LLM budgets, API-key governance, Salesforce, HubSpot, data engineering, ETL, Snowflake, support or customer-success operations, and internal tools.
Benefits
- Medical, dental, and vision benefits; life insurance; short-term and long-term disability; 401(k) retirement plan; vacation and sick leave; and potential variable pay based on performance.
- The role is organized around 30-to-60-day transformation sprints with systems handed off to partner teams after launch.
Tech Stack
Categories
About Yext
Yext builds an enterprise platform for managing digital presence and search across listings, reviews, local pages, and site experiences, with an API-first architecture for developers. It sells SaaS subscriptions to multi-location brands and partners in retail, healthcare, financial services, hospitality, and food to manage and measure visibility across AI and traditional search. Founded in 2006 and headquartered in New York, Yext is a public company on the NYSE (YEXT).