AI Engineer | Automation & AI Agents

New
J
JobgetherAI automation
Based in BrazilFull-Time
Salary not disclosed
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Job Details

Required Skills
PythonGitRESTful APIsPrompt EngineeringLLMGenerative AI

Requirements

  • Practical experience with n8n and workflow automation development.
  • Hands-on experience with large language models and generative artificial intelligence.
  • Knowledge and experience working with Claude and the Anthropic API.
  • Experience developing and integrating REST APIs.
  • Familiarity with webhooks, JSON, and API authentication methods.
  • Strong understanding of prompt engineering concepts and techniques.
  • Experience using Git and code versioning practices.
  • Proficiency in at least one programming language or development environment: Python, JavaScript/TypeScript, C#/.NET, or Node.js.
  • Take a practical, hands-on approach to turning experiments and concepts into functional, scalable solutions.
  • Nice to have: experience developing AI agents and implementing agentic AI solutions.
  • Nice to have: knowledge of embeddings and semantic search.
  • Nice to have: experience with Docker and containerized applications.
  • Nice to have: familiarity with AWS cloud services.
  • Nice to have: knowledge of AI security practices and data protection.

Responsibilities

  • Design, develop, and implement generative AI solutions using Claude and other large language models.
  • Build AI agents to execute business workflows and automate operational tasks.
  • Develop automated workflows and integrations using n8n.
  • Connect AI agents to REST/SOAP APIs, webhooks, databases, and corporate systems.
  • Design prompt engineering strategies and context management approaches to improve agent performance.
  • Develop Retrieval-Augmented Generation (RAG) solutions when appropriate.
  • Monitor token consumption, solution performance, and operating costs, and identify optimization opportunities.
  • Apply security best practices when handling credentials, sensitive information, and corporate data.
  • Create tests, evaluation criteria, and validation processes for agent responses and behavior.
  • Collaborate with business teams to identify automation opportunities and document solution architectures, integrations, prompts, and workflows.
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