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Senior Full Stack AI Engineer Location: Remote – Mexico Schedule: EST About the Role We are looking for a Senior Full Stack AI Engineer to join a US-based startup building an AI-powered back-office platform for the skilled trades. This is a highly hands-on engineering role for someone who can own systems end-to-end — from modern React and React Native product experiences to Node.js services, AI agents, RAG/search, integrations, and production infrastructure. The ideal candidate is a strong product engineer who has already shipped production full-stack systems and has meaningful hands-on experience building AI/LLM-powered features. What You’ll Build New product screens and workflows for jobs, customers, invoicing, scheduling, and other business operations using React and React Native AI-powered chat experiences including streaming responses, tool-result rendering, human review, and feedback loops Production AI workflows including tool-using agents, RAG/search, classification, extraction, and human-in-the-loop systems Backend APIs and services using Node.js and TypeScript Business automations powered by AI Integrations and data ingestion from third-party APIs, webhooks, and files Evaluation and monitoring systems for AI workflows, including regression testing, quality metrics, drift detection, and cost/latency tracking Scalable systems involving queues, orchestration, retries, data modeling, and API design Reliable and polished user experiences with attention to performance, loading states, accessibility, and edge cases Responsibilities Analyze product and business requirements and propose practical, AI-native technical solutions Design and ship full-stack features across React, React Native, Node.js, and AI services Build clean, scalable, production-ready code Design and implement LLM-powered workflows and AI integrations Test, deploy, monitor, and optimize production systems Evaluate AI-generated solutions critically rather than relying on them blindly Troubleshoot production issues and maintain system reliability Collaborate directly with product leaders and subject-matter experts Mentor other engineers and contribute to technical and architectural decisions Understand user needs and translate them into effective product experiences Required Experience Strong experience building and shipping production full-stack applications with end-to-end ownership Strong React and TypeScript fundamentals Strong backend development experience with Node.js Experience designing and consuming REST and/or GraphQL APIs Hands-on experience building LLM-powered features in production Experience with AI architectures such as RAG, retrieval, reranking, agents, tool calling, or AI workflows Experience with modern databases such as PostgreSQL and/or MongoDB Experience with cloud infrastructure and CI/CD Ability to work across frontend, backend, AI, databases, and infrastructure when necessary Strong system-design and problem-solving skills Ability to reason through unfamiliar technical problems in real time Strong English communication skills for daily collaboration with a US-based team Nice to Have React Native and/or Expo LangChain or similar AI frameworks AI agents that interact with external tools and APIs AI evaluation, monitoring, guardrails, or human-review systems Audio streaming and/or AI voice applications Workflow automation platforms such as n8n or Lindy AWS Terraform / Infrastructure as Code Experience with business workflow automation Experience working in an early-stage startup environment Engineering Culture The team actively uses modern AI development tools such as Claude Code and Cursor to accelerate engineering. We are looking for engineers who know how to leverage these tools effectively while maintaining the technical judgment to validate their output, identify incorrect assumptions, evaluate trade-offs, and solve new problems independently. This is an environment for engineers who enjoy building quickly, owning systems end-to-end, and thinking deeply about both product and technology.
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.