Full Stack AI Developer

Pavago; United States; Remote; USD 120.000 - 180.000; Vollzeit

Zusammenfassung

Pavago seeks a senior Full Stack AI Developer to lead the development of an internal AI-powered operating platform. You will work across data engineering, API integrations, AI/LLM applications, dashboards, automation, and modern web development to design architecture and deliver production-ready systems.

This high-ownership role involves proposing solutions, making technical decisions, and taking projects from idea to production with a strong emphasis on security, reliability, and async

Qualifikationen

• 5+ years of professional full-stack development.
• 2+ years building data pipelines and LLM-powered apps.
• Strong SQL and data warehouse experience (BigQuery, Snowflake, PostgreSQL).
• Experience with TypeScript/JavaScript and React; Node.js or Python backend.
• Experience with CI/CD and infrastructure-as-code; security practices.

Aufgaben

• Lead data & platform development across data warehouses and dashboards.
• Build REST API integrations and event-driven automation.
• Develop AI/LLM apps, retrieval, text-to-SQL, and cost-aware prompts.
• Create dashboards and web apps with TypeScript/React and Node.js or Python.
• Ensure secure authentication, IAM, secrets, and audit logging.

Kenntnisse

Full-stack development

Data pipelines

SQL

React

Node.js

Python

AI/LLM applications

Security best practices

CI/CD

Tools

BigQuery

Snowflake

PostgreSQL

dbt

REST APIs

Cloudflare Workers

Jobbeschreibung

Position Type: Full-Time | Remote
Working Hours: Must overlap at least 4 hours with U.S. Pacific Time

About the Role

We are looking for a senior Full Stack AI Developer to lead the development of an internal AI-powered operating platform.

You will work across data engineering, API integrations, AI/LLM applications, dashboards, automation, and modern web development. You will help design the architecture, build production-ready systems, and improve the platform based on real business needs.

This is a high-ownership role for someone who can propose solutions, make technical decisions, and take projects from idea to production.

Key Responsibilities

Data & Platform Development

• Build and maintain a centralized data warehouse using SQL and modern data tools.
• Develop a shared metrics layer so business metrics are consistently defined across dashboards.
• Build data pipelines, models, monitoring, and automated reporting.
• Connect data from multiple business systems into a centralized platform.

API Integrations & Automation

• Build and maintain REST API and webhook integrations with platforms such as ServiceTitan, Dialpad, Brex, Ramp, QuickBooks Online, payroll, Google Ads, and other business systems.
• Develop event-driven automations that monitor business processes and trigger alerts when requirements are missed.
• Build automated checks and scorecards for operations, payroll, accounting, and marketing.

AI & LLM Development

• Build AI-powered assistants that can answer business questions using company data.
• Develop retrieval, text-to-SQL, semantic layers, agents, and tool-use workflows.
• Design prompts, evaluations, guardrails, and systems that control AI cost and latency.
• Build AI applications that are reliable enough for real users and business operations.

Dashboards & Web Applications

• Build dashboards for operations, sales, finance, marketing, and customer service.
• Develop modern web applications using TypeScript/JavaScript and React or similar technologies.
• Build backend services using Node.js or Python.
• Support future customer-facing applications for booking, payments, invoices, job photos, and service history.

Security & Infrastructure

• Implement secure authentication, OAuth/SSO, role-based access, secrets management, and audit logging.
• Follow least-privilege access and appropriate PII handling practices.
• Support CI/CD, infrastructure-as-code, monitoring, and production reliability.
• Build systems that are properly documented and supported with runbooks.

Required Experience & Skills

• 5+ years of professional full-stack development experience with production systems.
• 2+ years of experience building data pipelines, data warehouses, and LLM-powered applications.
• Strong experience with SQL and cloud data warehouses such as BigQuery, Snowflake, or PostgreSQL.
• Experience with dbt or equivalent data modeling tools, orchestration, and monitoring.
• Strong experience building REST APIs and webhook integrations.
• Hands‑on experience with AI/LLM applications, including agents, tool use, text-to-SQL, retrieval, and evaluation.
• Strong TypeScript/JavaScript and React or similar frontend experience.
• Experience with Node.js or Python backend services.
• Experience with serverless or edge technologies; Cloudflare Workers is a plus.
• Experience with CI/CD and infrastructure-as-code.
• Strong understanding of application security, authentication, permissions, secrets, and audit logging.
• Ability to work independently and take ownership of architecture and technical decisions.
• Strong written and verbal English communication skills.

Preferred Qualifications

• Experience integrating with ServiceTitan, Jobber, Housecall Pro, or similar field-service platforms.
• Experience with React Native or Flutter.
• Experience working with business SaaS integrations at scale.
• Experience handling customer data and building systems with SOC 2-style security controls.
• Experience building AI assistants used by real business users.

What Makes You a Strong Fit

• You can design the architecture, not just implement assigned tickets.
• You build production-ready systems that are monitored, documented, and maintainable.
• You understand how technology connects to business metrics and outcomes.
• You can explain complex technical concepts to non-technical stakeholders.
• You take ownership from planning through deployment and ongoing improvement.
• You are comfortable working remotely with async communication and regular demos.

Working Style

You will work remotely with at least 4 hours of daily overlap with U.S. Pacific Time. The team works primarily through async communication, with regular collaboration and weekly demos of shipped work.

Interview Process

1. AI Screening
2. Client Interview
3. Offer Stage

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