Full-Stack Implementation Engineer

Full-Stack Implementation Engineer

PayStandards · The AI Platform for Pay

Location: New York, NY / Remote (US)

Type: Full-time

Target start: November 2026

PayStandards 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, TypeScript (hosted on Render)
• Backend: Python FastAPI for the recommendation engine and agent services; Node/TypeScript 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: GitHub Actions CI/CD with SAST/SCA gates, Datadog, Vanta

• 5+ years of full-stack experience centered on TypeScript, 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. Functional specs and client-facing documentation are part of the job.
• Fluency with AI coding tools as a normal part of how you work, and a critical eye for what they produce.

Nice to have: compensation, HR, or people-analytics domain exposure; HRIS integration experience (Workday, SAP SuccessFactors, or via an aggregator); experience shipping LLM-backed features with evals and traces; enterprise identity work (SAML, SCIM).

Salary range: Subject to experience and skills, including opportunity for significant equity and benefits.

Apply: on LinkedIn or email View email address on click.appcast.io

PayStandards is an equal opportunity employer. We make hiring and pay decisions on the basis of qualifications and performance, and we build software that helps other companies do the same.