Ai Developer

WTW group; Brasil; On-site; BRL 180,000 - 260,000; Full time

Job summary

WTW is seeking an AI Developer to rapidly translate ideas into working prototypes. You will build conversational agents, automations, and AI-powered applications mainly on low-code and agent-builder platforms, moving quickly from concept to proof-of-concept.

The role emphasizes platform fluency, rapid iteration, and cloud-savvy deployment. You will collaborate with stakeholders to scope use cases and decide on the right build approach, including end-to-end cloud ownership.

Qualifications

• Hands-on proficiency with at least one low-code AI or automation platform (e.g., Copilot Studio, Power Platform, or Azure AI Foundry).
• Experience with at least one AI agent-builder platform (e.g., Lyzr, Moveworks).
• Software development experience in Python, JavaScript/TypeScript, C#, or Java.
• Demonstrated ability to rapidly prototype an idea into a functioning prototype using AI-assisted development.

Responsibilities

• Design and build AI agents, copilots, and automated workflows using low-code platforms and agent-builder frameworks.
• Rapidly prototype ideas, turning loosely defined problems into working proofs-of-concept.
• Integrate agents with enterprise systems, data sources, and APIs.
• Apply engineering best practices including error handling, evaluation, security, and access controls in low-code environments.
• Collaborate with stakeholders to scope use cases and decide between low-code or custom code builds.

Skills

Low-code platforms

AI development

Agent-builder platforms

Programming (Python/JS/C#/Java)

Rapid prototyping

Cloud concepts (Azure/AWS/GCP)

End-to-end cloud ownership

Tools

Microsoft Copilot Studio

Power Platform

Azure AI Foundry

Lyzr

Moveworks

Job description

Role Summary

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).

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