AI Engineer

• Build complete web applications, customer portals, and dashboards with responsive interfaces, backend services, APIs, databases, authentication, and role-based access
• Develop AI agents with tool calling, retrieval, structured outputs, workflow orchestration, evaluation, and human approval steps
• Own implementation through testing, deployment, monitoring, production troubleshooting, documentation, and user adoption
• Design maintainable architecture and reusable integrations with OAuth, webhooks, queues, retries, duplicate prevention, and failure recovery
• Manage cloud infrastructure, Docker, CI/CD, secrets, logging, backups, performance, and operating costs
• Review code and guide other developers
• Build marketing dashboards for campaign performance, lead pipelines, conversion attribution, and operational reporting
• Integrate Meta Ads, Meta Lead Ads, Google Ads, GA4, Google Tag Manager, CRMs, landing pages, calendars, and email/SMS services
• Implement Meta Pixel and Conversions API, enhanced and offline conversions, lead routing, qualification, deduplication, follow-ups, and booking
• Create AI-assisted campaign and reporting tools with approval controls for publishing, campaign changes, and advertising spend

Explore Senior Full-Stack AI Engineer – Marketing Applications,… at Berry Virtual. Review requirements and application details.

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