Senior Full-Stack AI Engineer - Marketing Applications & Integrations

New

Workable workplace: remote; Workable locations: Philippines. India. Honduras. Colombia. MexicoFull-TimeSenior

Salary not disclosed

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Job Details

Have 5+ years of professional software development experience and personal ownership of production applications from architecture through deployment.
Have strong TypeScript/JavaScript, React or Next.js, backend development with Node.js, and practical Python experience.
Have experience designing SQL/PostgreSQL databases, APIs, authentication, multi-tenant access controls, and background jobs.
Have delivered AI agents and third-party integrations, including secure credentials, rate limits, synchronization, and production error handling.
Have hands-on cloud deployment experience with AWS, Azure, or GCP.
Have experience with Docker, Git, CI/CD, automated testing, monitoring, and incident resolution.
Be able to translate business needs into technical plans, estimate work, communicate tradeoffs, lead implementation, and ship independently.
Have practical experience with Meta and Google marketing APIs, tracking, attribution, conversion measurement, and consent-aware data handling.
Have experience integrating platforms such as HubSpot, GoHighLevel, Salesforce, or similar CRMs.
Have a stable, high-speed internet connection, preferably 25 MBPS or higher, with backup for power or service interruptions.
Have a PC or laptop meeting the specified hardware and operating-system requirements, plus up-to-date browsers and security software.
Have a noise-cancelling headset or earphones, a webcam at 720p or higher, and a designated quiet workspace.

Build 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 reusable integrations using 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 conversion tracking, 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.

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