Applied AI Engineer (AI Agents & Workflow Automation)
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.
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.
The AI era isn't coming, it's already here. At Manychat, we're building it into the foundation of everything and we need an Applied AI Engineer to help make that real.
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.
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.
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!
- Design, build, and maintain AI-driven services and agent-based solutions for workflow and business process automation.
- Develop orchestration logic across LLMs, internal services, APIs, databases, and third-party platforms.
- Build backend components for AI products and automation pipelines using TypeScript and Node.js.
- Integrate AI-powered workflows with CRM, ERP, ticketing, knowledge management, communication, and other business systems.
- Implement and improve RAG, tool/function calling, memory/state handling, evaluation, and monitoring for AI use cases.
- Partner closely with Product Managers, domain experts, and business stakeholders to identify high-impact use cases and translate them into technical solutions.
- Contribute across the full product lifecycle: discovery, prototyping, production delivery, and iteration.
- Ensure production quality through testing, observability, reliability, security, performance, and cost awareness.
- Document architecture, technical decisions, and tradeoffs, and communicate them clearly to both technical and non-technical stakeholders.
You'll need:
- 3 – 5 years of experience in software engineering, backend engineering, or applied AI engineering.
- Strong hands-on experience with TypeScript and Node.js in production environments.
- Experience building backend services, APIs, and integrations.
- Practical experience with LLM-based applications, AI automation, or agentic workflows.
- Solid understanding of RAG, prompt engineering, tool/function calling, and context management.
- Experience working with SQL/NoSQL databases and external APIs.
- Understanding of reliable backend patterns such as async processing, retries, queues, idempotency, and error handling.
- Ability to understand business workflows and translate ambiguous requirements into clear technical solutions.
- Experience collaborating with product teams, analysts, operations, and other stakeholders.
- Strong communication skills and the ability to explain complex solutions to both technical and non-technical audiences.
IT WOULD BE GREAT IF YOU HAVE 🤩
- Experience with LangChain, LangGraph, OpenAI SDK, LlamaIndex, or similar frameworks.
- Experience with workflow and orchestration tools such as n8n, Temporal, or event-driven systems.
- Familiarity with PostgreSQL, Redis, Kafka, BullMQ, or similar technologies.
- Experience with vector databases such as pgvector, Pinecone, Qdrant, or Weaviate.
- Experience with Python in AI/ML-related use cases.
- Experience with Docker, cloud platforms (AWS, GCP, Azure), and CI/CD pipelines.
- Exposure to observability and evaluation tooling for AI systems.
- Understanding of security, privacy, and governance considerations for AI-driven business systems.
Tech Stack
- Core: TypeScript, Node.js
- Backend: NestJS, Express, or similar frameworks
- AI/LLM: OpenAI API, Anthropic API, LangChain, LangGraph
- Data/RAG: PostgreSQL, pgvector, Redis, vector databases
- Integrations: REST APIs, webhooks, third-party SaaS platforms
Infrastructure: Docker, cloud services, CI/CD, logging and monitoring
We care deeply about your growth, well-being, and comfort:
- 🌍 Hybrid onboarding to start work remotely and relocation support for you and your family.
- 💙 Comprehensive health insurance for both you and your family.
- 📚 Professional development budget for conference tickets, online courses, and other relevant resources to help you grow.
- 🫶 Flexible benefits package to tailor perks that matters most for you.
- 🪴 Hybrid work and generous leave options to prioritize your work-life balance.
- 🍽️ In-office perks, including free meals and snacks.
- 🤝 Company-funded sport activities, annual offsites and team-building events.
Manychat is an Equal Opportunity Employer. We’re committed to building a diverse and inclusive team. We do not discriminate against qualified employees or applicants because of race, color, religion, gender identity, sex, sexual preference, sexual identity, pregnancy, national origin, ancestry, citizenship, age, marital status, physical disability, mental disability, medical condition, military status, or any other characteristic protected by local law or ordinance.
This commitment is also reflected through our candidate experience. If you have individual needs that may require an accommodation during the interview process, please indicate this in your application. We will do our best to provide assistance throughout your interview process to ensure you’re set up for success.
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