Senior AI Automation Engineer

Innovecs; Santo André; Híbrido; BRL 331.000 - 442.000; Tempo integral

Resumo da oferta

A technology company based in São Paulo, Brazil, is seeking an AI Automation Engineer responsible for designing and deploying AI-powered workflows using low-code platforms and JavaScript. This role requires expertise in building integrations with LLMs and experience working with REST APIs. The ideal candidate will have strong problem-solving and communication skills, with a minimum of 3 years in similar roles. You will optimize automation processes and collaborate with cross-functional teams to enhance efficiency across operations.

Qualificações

• 3+ years of experience in building integrations and workflow systems.
• Hands-on experience with LLM APIs and prompt engineering.
• Ability to read API documentation and troubleshoot integration issues.

Responsabilidades

• Design AI-powered automation workflows using low-code platforms.
• Build intelligent systems leveraging large language models.
• Monitor automation health and optimize workflows for efficiency.

Conhecimentos

Low-code / no-code automation platforms

JavaScript

LLM APIs

REST APIs

Problem-solving skills

Communication skills

English (Upper-Intermediate)

Ferramentas

n8n

Zapier

Tray.ai

Python

AWS

Azure

GCP

Descrição da oferta de emprego

• Requirements 3+ years of professional experience building integrations, automations, or workflow systems
• Strong proficiency with low-code / no-code automation platforms (n8n,AI for business automation- Tray.ai, Zapier,Make | AI Workflow Automation Software & Tools ,or similar)
• Solid JavaScript skills -most automation logic happens in JavaScript nodes and custom functions
• Hands-on experience with LLM APIs (OpenAI, Anthropic Claude, or similar) and prompt engineering
• Experience working with REST APIs, webhooks, and authentication patterns (OAuth, API keys, JWT)
• Understanding of data transformation and formats (JSON, XML, CSV)
• Ability to read API documentation, debug integration issues, and troubleshoot automation failures
• Experience building event-driven workflows and handling asynchronous processes
• Strong problem-solving skills and ability to translate business requirements into technical solutions
• Self-motivated, disciplined, and comfortable working independently across time zones
• Great communication skills - ability to explain technical concepts to non-technical stakeholders
• Your English is at least at the Upper-Intermediate level to communicate with our teams

Preferred Skills / Abilities

• Experience building AI agents or multi-step LLM workflows (LangChain, CrewAI, AutoGen, or custom implementations)
• Python scripting for data processing, API integration, or ETL workflows
• Familiarity with workflow orchestration tools or iPaaS platforms (Temporal, Workato, MuleSoft)
• Understanding of vector databases and semantic search for RAG implementations
• Experience with freight, logistics, or supply chain systems and terminology
• Knowledge of SQL and database queries for data analysis
• Background in operations, RevOps, data engineering, or technical product roles
• Experience measuring and optimizing automation ROI (cost per call, error rates, processing time)
• Experience with cloud platforms (AWS, Azure or GCP) and serverless architectures
• Understanding of microservices architecture and event-driven systems

Responsibilities

• Design and deploy AI-powered automation workflows using low-code platforms and custom JavaScript
• Build intelligent systems that leverage large language models (LLMs) for decision-making, data extraction, and process automation
• Create and maintain integrations between internal systems and third-party platforms using APIs, webhooks, and event-driven architectures
• Develop data pipelines that transform, enrich, and route information across multiple systems and data sources
• Implement prompt engineering strategies and design multi-step LLM orchestration workflows
• Build and optimize automated workflows that eliminate repetitive manual tasks across operations teams
• Monitor automation health, debug failures, and continuously optimize workflows for reliability, performance, and cost-efficiency
• Identify new automation opportunities by collaborating directly with operations, product, and engineering teams
• Document workflows, create runbooks, and establish best practices for scalable AI automation
• Participate in code reviews and contribute to shared automation libraries, frameworks, and templates
• Measure and report on automation performance metrics, including accuracy, latency, cost savings, and operational impact
• Prototype new AI capabilities and experiment with emerging technologies as part of our Technical Innovation Program

Example Projects & Initiatives To give you a sense of the types of challenges you'll tackle, here are examples of projects our AI Automation Engineers work on :

Intelligent Document Processing :

• Build systems that automatically extract structured data from unstructured documents (PDFs, emails, images)
• Create validation workflows that use AI to verify data accuracy and flag anomalies for human review
• Design document classification systems that route different document types to appropriate processing pipelines
• Implement OCR + LLM workflows that handle handwritten or poorly scanned documents

AI-Powered Business Process Automation :

• Develop AI agents that conduct multi-step research and qualification processes autonomously
• Build conversational systems that handle routine inquiries and escal… ...(content truncated for brevity)...