Senior AI Automation Engineer

Innovecs; Natal; Presencial; BRL 120.000 - 160.000; Tempo integral

Resumo da oferta

A global technology company in Brazil is looking for an AI Automation Engineer to design and deploy automation workflows using low-code platforms. The candidate will create intelligent systems that leverage LLMs for data extraction and process automation. Responsibilities include building integrations, optimizing workflows, and collaborating on innovative AI projects. Ideal candidates have a strong background in JavaScript and experience with low-code automation platforms. This role requires great communication skills and the ability to work independently.

Qualificações

• 3+ years of experience building integrations, automations, or workflow systems.
• Strong proficiency with low-code / no-code automation platforms.
• Hands-on experience with LLM APIs and prompt engineering.
• Experience working with REST APIs and authentication patterns.

Responsabilidades

• Design and deploy AI-powered automation workflows using low-code platforms.
• Monitor automation health and debug failures.
• Create and maintain integrations between internal systems and third-party platforms.
• Prototype new AI capabilities and experiment with emerging technologies.

Conhecimentos

JavaScript skills

Low-code / no-code platforms

Problem-solving skills

Communication skills

Experience with LLM APIs

Ferramentas

Zapier

n8n

Tray.ai

Python

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)...