Key Responsibilities
• Full-Stack Application Development: Build complete web applications, customer portals, and dashboards, including responsive interfaces, backend services, APIs, databases, authentication, and role-based access.
• AI Agents & Automation: Develop AI agents with tool calling, retrieval, structured outputs, workflow orchestration, evaluation, and appropriate human approval steps.
• End-to-End Delivery: Own implementation through testing, deployment, monitoring, production troubleshooting, documentation, and user adoption.
• Integration Architecture: Design maintainable architecture and reusable integrations with OAuth, webhooks, queues, retries, duplicate prevention, and failure recovery.
• Cloud Infrastructure & Technical Leadership: Manage cloud infrastructure, Docker, CI/CD, secrets, logging, backups, performance, and operating costs; review code and guide other developers.
• Marketing Applications & Analytics: Build marketing dashboards for campaign performance, lead pipelines, conversion attribution, and operational reporting.
• Marketing Platform Integrations: Integrate Meta Ads, Meta Lead Ads, Google Ads, GA4, Google Tag Manager, CRMs, landing pages, calendars, and email/SMS services.
• Conversion Tracking & Lead Management: Implement Meta Pixel and Conversions API, enhanced and offline conversions, lead routing, qualification, deduplication, follow-ups, and booking.
• AI-Assisted Marketing Tools: Create AI-assisted campaign and reporting tools, with approval controls for publishing, campaign changes, and advertising spend. Must-Have
• 5+ years of professional software development experience, with personal ownership of production applications from architecture through deployment.
• Robust TypeScript/JavaScript, React or Next.js, backend development with Node.js, and practical Python experience.




• Experience designing SQL/PostgreSQL databases, APIs, authentication, multi-tenant access controls, and background jobs.
• Proven delivery of AI agents and third-party integrations, including secure credentials, rate limits, synchronization, and production error handling.
• Hands-on cloud deployment experience with AWS, Azure, or GCP; Docker, Git, CI/CD, automated testing, monitoring, and incident resolution.
• Ability to translate business needs into technical plans, estimate work, communicate tradeoffs, lead implementation, and ship independently.
• Practical experience with Meta and Google marketing APIs, tracking, attribution, conversion measurement, and consent-aware data handling.
• Experience integrating platforms such as HubSpot, GoHighLevel, Salesforce, or similar CRMs. Nice-to-Have
• OpenAI APIs and AI-powered applications.
• Twilio integrations and voice agents.
• Automation platforms such as n8n, Make, or Zapier.
• Multi-client marketing systems.
• Secure separation of client credentials and data. System and Work Setup

Requirements:
• A stable and high-speed internet connection preferably 25 MBPS or higher with backup in cases of power interruption or service provider issues.
• Own PC/laptop with 8GB RAM, and a processor of Core i5 / AMD Ryzen 3 / 2013 Mac equivalent or higher; Windows 10 or above / Catalina 10.15 or newer; with up-to-date web browsers, and security software, 500GB/128 SSD storage
• Headset/earphone with noise cancellation and webcam at 720p or higher resolution
• A designated, quiet, and well-organized workspace free from distractions to facilitate focused work
• Permanent remote work setup
• Competitive starting rate paid in USD
• Internet Allowance
• HMO insurance (PH)
• Paid US holidays
• Paid Vacation and Sick Leaves

📌 Senior Full-Stack AI Engineer (India)
🏢 Berry Virtual | MedVirtual | AI Virtual
📍 India