Applied AI Engineer (AI Agents & Workflow Automation)

📋 Description

• • Design, build, and maintain AI-driven services and agent-based solutions for workflow and business process automation using TypeScript and Node.js.
• • Develop orchestration logic across LLMs, internal services, APIs, databases, and third-party platforms to enable automated business workflows.
• • Build backend components for AI products and automation pipelines with a focus on production-grade reliability, scalability, and performance.
• • Integrate AI-powered workflows with CRM, ERP, ticketing, knowledge management, communication, and other enterprise business systems.
• • Implement and improve RAG (Retrieval-Augmented Generation), tool/function calling, memory/state handling, evaluation, and monitoring systems for AI use cases.
• • Partner closely with Product Managers, domain experts, and business stakeholders to identify high-impact AI use cases and translate ambiguous business requirements into technical solutions.
• • Contribute across the full product lifecycle—from discovery and prototyping to production delivery and iterative improvement.
• • Ensure production quality through rigorous testing, observability, security, performance optimization, and cost-aware architecture decisions.
• • Document technical architecture, design decisions, and tradeoffs clearly for both technical and non-technical stakeholders.
• • Collaborate with cross-functional teams including engineering, product, operations, and customer success to align AI solutions with real-world business needs.
• • Maintain and enhance automation pipelines that integrate with REST APIs, webhooks, and third-party SaaS platforms used by over 1.5 million customers.
• • Apply backend patterns such as async processing, retries, queues, idempotency, and error handling to ensure robust and resilient AI systems.
• • Work within a tech stack centered on TypeScript, Node.js, NestJS, Express, OpenAI API, Anthropic API, LangChain, LangGraph, PostgreSQL, pgvector, Redis, and cloud infrastructure.
• • Participate in evaluating and adopting new AI tooling, frameworks, and observability platforms to improve system reliability and user outcomes.

🎯 Requirements

• • 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.

🏖️ Benefits

• • 🌍 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 matter most for you.
• • 🪴 Hybrid work and generous leave options to prioritize your work-life balance.
• • 🍽️ In-office perks, including free meals and snacks.

🤝 Company