Senior Ai Automation Engineer

Innovecs; Aparecida de Goiânia; Presencial; BRL 90.000 - 130.000; Tempo integral

Resumo da oferta

A leading AI automation company in Brazil seeks candidates for an AI Automation Engineer role. The ideal candidate has over 3 years of experience in building workflow systems, strong JavaScript skills, and proficiency with low-code platforms. Responsibilities include designing automation workflows, optimizing systems, and collaborating with various teams. Join our innovative team to tackle challenging projects that utilize large language models for enhanced business processes. Remote work is possible.

Serviços

Innovative projects

Collaborative work environment

Qualificações

• 3+ years of experience building automations or workflow systems.
• Strong proficiency in low-code/no-code automation platforms.
• Hands-on experience with LLM APIs and prompt engineering.

Responsabilidades

• Design and deploy AI automation workflows.
• Create integrations between internal and third-party platforms.
• Monitor automation performance and optimize workflows.

Conhecimentos

JavaScript

Low-code/no-code platforms

APIs

Problem-solving skills

English (Upper-Intermediate)

Ferramentas

n8n

Zapier

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)...