AI Automation Engineer - Internal Platform
New
P
phDataData and AI
Brazil - RemoteFull-TimeMiddle
Salary not disclosed
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Job Details
- Experience
- 3+ years
- Required Skills
- PythonCloud ComputingGitCI/CDRESTful APIsPrompt Engineering
Requirements
- 4-year Bachelor’s degree in Computer Science, Engineering, Data Science, or equivalent practical experience.
- 3+ years of professional experience building and deploying AI-powered workflows and/or automation solutions.
- Hands-on experience with AI-driven tools or platforms (e.g., Glean, Microsoft Copilot, Snowflake Cortex/Intelligence).
- Demonstrated experience with process automation (e.g., RPA, Power Automate, scripting).
- Experience integrating systems via APIs and connectors.
- Solid software or scripting background (Python preferred).
- Familiarity with professional software development workflows (Git, branching, code review).
- Exposure to agile development practices.
- Basic experience deploying or using cloud services for AI workloads (AWS, Azure, or Google Cloud).
- Strong analytical and problem-solving skills.
- Excellent communication skills for technical and non-technical audiences.
Responsibilities
- Partner with business groups to identify AI/automation opportunities.
- Assess feasibility (viability, data, integration, ROI, readiness) and help prioritize work across a portfolio of ideas.
- Translate business problems into clear solution designs and implementation plans.
- Design, configure, and refine AI-driven applications and agents (RAG, prompt design, agent workflows).
- Implement workflow automation using RPA, scripting, and low-code/no-code tools.
- Integrate systems and data sources through APIs and connectors.
- Build automation and AI workflows using modern engineering practices including version control and CI/CD.
- Contribute to shared patterns, templates, and documentation for internal AI agents.
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