Full-Stack Implementation Engineer

Pay Standards has built the AI platform for compensation decisions. Our solutions are used by large enterprises across industries. We are a high-growth applied AI company that exists to reward people effectively for their contributions.

We deliver AI-native solutions with governance at our core. Our agents recommend, humans approve, every trace is stored. Workflows are deterministic state machines; the LLM narrates and explains, the workflow decides. The platform is engineered to EU AI Act high-risk requirements and runs under an ISO 42001 AI management system alongside SOC 2 and GDPR controls.

If you are an exceptional engineer who loves building dynamic AI solutions that have to hold up in front of a bank's architecture review board, this is that job.

Pay Standards
· The AI Platform for Pay

Pay Standards has built the AI platform for compensation decisions. Our solutions are used by large enterprises across industries. We are a high-growth applied AI company that exists to reward people effectively for their contributions.

We deliver AI-native solutions with governance at our core. Our agents recommend, humans approve, every trace is stored. Workflows are deterministic state machines; the LLM narrates and explains, the workflow decides. The platform is engineered to EU AI Act high-risk requirements and runs under an ISO 42001 AI management system alongside SOC 2 and GDPR controls.

If you are an exceptional engineer who loves building dynamic AI solutions that have to hold up in front of a bank's architecture review board, this is that job.

You will be the important engineer who takes a signed enterprise customer from contract to a live, configured, tested deployment, and who owns the shared application surfaces that make that repeatable. At our size a specialist is blocked half the time; customization work touches configuration, API, and UI in the same week, which is why this role is full-stack.

• Own customization phases as engagements sign:
  Year-End, Pay Transparency, and Pay Equity configuration, plus agent configuration for new customers.
• Run per-client QA and simulation triage ahead of each customer simulation and parallel run. These simulations happen immediately before a customer's live comp cycle; a slipped simulation is a lost year, not a slipped sprint.
• Write functional specs for client configurations and edge cases so product design stays focused on design.
• Join the on-call rotation for production rollouts, where we commit to white-glove support.

• Own the core application lane: main and submit-approval screens, build-cycles screen, CSV upload and management, user onboarding screens, and results-download APIs.
• Build client-specific UI states on a configuration-driven model so the core product line never forks per customer.
• Contribute to the agent workflow layer: tool definitions, approval routing, trace capture, and the guardrails that bound what an agent can recommend.

• Frontend: Next.js, React, Type Script (hosted on Render)
• Backend: Python FastAPI for the recommendation engine and agent services;
  Node/Type Script for application APIs
• Data: PostgreSQL (Supabase with row-level security; per-tenant AWS RDS), Snowflake + dbt for the analytics layer
• AI layer: OpenAI, Anthropic, and Google models behind our own BYOK LLM key router; tool-calling agents on deterministic workflow state machines; batch generation is deterministic by default
• Cloud and security: AWS (Cognito, KMS with per-tenant customer-managed keys, Secrets Manager, S3, WAF), Cloudflare, WorkOS for SSO/SAML, SCIM, and audit-log streaming
• Integrations: Kombo and Finch for HRIS, ATS, and payroll connectivity
• Ops and compliance: Git Hub Actions CI/CD with SAST/SCA gates, Datadog, Vanta

• 5+ years of full-stack experience centered on Type Script, Next.js, and Node, with solid SQL. Supabase or Postgres experience is a plus; working Python is a plus.
• Customer-facing delivery or forward-deployed experience. You have sat across from a client's team, understood their edge cases, and shipped the thing.
• Comfort owning configuration-driven enterprise features end to end: config model, API, and UI.
• Judgment about multi-tenant systems, data isolation, and access control. You will work inside a compliance-heavy environment and you will not find that annoying.
• Clear written communication.…