About the role
<h2>WHO WE ARE 🌍</h2> <p>We help creators get more out of every conversation with Instagram-focused automations and support for other channels like Messenger, WhatsApp, and TikTok. The result? Better engagement, more sales, and real, sustainable growth.</p> <p>With a diverse team of 350+ people spread across three continents, we’re building the leading Chat Marketing platform that is used — and loved — by more than 1.5 million customers worldwide.</p> <h2>WHO WE'RE LOOKING FOR 🌟</h2> <p>The AI era isn't coming, it's already here. At Manychat, we're building it into the foundation of everything&nbsp; and we need an Applied AI Engineer to help make that real.</p> <p>Your main focus will be AI agents and agentic workflows, LLM-powered system orchestration, and automation pipelines that integrate into the business processes that actually matter. You'll work across internal and customer-facing systems, writing production-grade code and partnering with product and business teams to turn complex challenges into reliable, scalable solutions.</p> <p>We'd love to work with someone who brings more than strong engineering fundamentals. Someone with the product mindset to understand business context, the communication skills to work fluidly across teams, and the pragmatism to choose solutions that are effective and built to last. Ownership matters here: we're looking for someone who drives work from discovery to rollout, not someone who hands things off at the first checkpoint.</p> <p>If success for you means identifying real AI use cases, building things that work reliably at scale, and being a trusted technical partner to the teams around you, let’s talk!&nbsp;</p> <h2>WHAT YOU'LL DO 🚀</h2> <ul> <li>Design, build, and maintain AI-driven services and agent-based solutions for workflow and business process automation.</li> <li>Develop orchestration logic across LLMs, internal services, APIs, databases, and third-party platforms.</li> <li>Build backend components for AI products and automation pipelines using TypeScript and Node.js.</li> <li>Integrate AI-powered workflows with CRM, ERP, ticketing, knowledge management, communication, and other business systems.</li> <li>Implement and improve RAG, tool/function calling, memory/state handling, evaluation, and monitoring for AI use cases.</li> <li>Partner closely with Product Managers, domain experts, and business stakeholders to identify high-impact use cases and translate them into technical solutions.</li> <li>Contribute across the full product lifecycle: discovery, prototyping, production delivery, and iteration.</li> <li>Ensure production quality through testing, observability, reliability, security, performance, and cost awareness.</li> <li>Document arc