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AI Developer (Low Code)

WTW

3.7
128 reviews
WTW
Job Type   /   Job Level
Full-time   /   Others/Any
Job Location
Mexico City, Mexico
Salary Range
MXN 40,000 - MXN 65,000 (Monthly)
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Description

We are looking for an AI Developer who can turn ideas into working prototypes fast. You will build conversational agents, automations, and AI-powered applications primarily on low-code and agent-builder platforms, dropping into code where the problem demands it. The ideal candidate is platform-fluent, has a strong bias to build, and is comfortable moving from a whiteboard concept to a demonstrable proof-of-concept in days, not weeks.

What You’ll Do

  • Design and build AI agents, copilots, and automated workflows using low-code platforms and agent-builder frameworks.
  • Rapidly prototype: take a loosely defined idea or business problem and produce a working proof-of-concept quickly, then iterate based on feedback.
  • Integrate agents and applications with enterprise systems, data sources, and APIs.
  • Apply sound engineering judgment — error handling, basic evaluation, security and access considerations — even within low-code environments.
  • Partner with business stakeholders to scope use cases and decide the right build approach (low-code versus custom code).

Qualifications

Required Qualifications

  • Hands-on proficiency with at least one low-code AI or automation platform, such as Microsoft Copilot Studio, Power Platform (Power Automate, Power Apps), or Azure AI Foundry.
  • Experience with at least one AI agent-builder platform such as Lyzr, Moveworks, or a comparable agentic/RAG builder platform.
  • Prior software development experience in any programming language (for example Python, JavaScript/TypeScript, C#, or Java) — you can read, write, and debug code when needed.
  • Demonstrated ability to rapidly prototype — translating an idea into a functional prototype quickly using AI-assisted development and fast iteration.
  • Strong, hands-on command of cloud concepts on at least one major provider (Azure, AWS, or GCP) — able to independently provision, configure, develop against, deploy, and operate cloud resources and services. Comfortable owning an application end-to-end in the cloud, not just consuming pre-built services.

Preferred Qualifications

  • Experience across multiple platforms spanning the categories above.
  • Familiarity with RAG, prompt design, agent orchestration, and integration patterns (connectors, APIs, MCP).
  • Exposure to enterprise governance concerns: identity and access, data handling, and AI usage policies.
  • Experience integrating with Microsoft 365 and Dataverse, or an equivalent enterprise ecosystem.

Equal opportunity to all
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