AI Automation Engineer

New

United StatesFull-TimeMiddle

Salary not disclosed

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Job Details

2–5+ years of experience in software engineering, data engineering, automation, or integration development
At least 1+ year of hands-on experience with iPaaS tools (Workato or similar platforms)
Strong proficiency in APIs, system integrations, and workflow automation design
Experience with data engineering concepts including ETL/ELT, data modeling, and SQL/T-SQL
Familiarity with AI/ML concepts, including RAG pipelines, vector databases, and LLM-based systems
Experience working with cloud platforms such as Amazon Web Services or Google Cloud
Proficiency with development and collaboration tools such as GitHub, Jira, and Confluence
Strong problem-solving mindset with the ability to operate independently in complex environments
Excellent communication skills and ability to collaborate with both technical and non-technical stakeholders

Design and maintain automation workflows using enterprise iPaaS tools such as Workato or equivalent platforms
Build integrations across core systems including Salesforce, NetSuite, Snowflake, and Slack
Develop ELT/ETL and reverse ETL pipelines supporting analytics and AI use cases
Architect agentic systems, including tool use, memory/state handling, and human-in-the-loop workflows
Implement retrieval-augmented generation (RAG) pipelines with vector databases and evaluation frameworks
Build production-ready automation scripts using Python, SQL, and JavaScript (or similar languages)
Ensure observability, monitoring, and governance for AI and automation systems
Maintain technical documentation, system diagrams, and version control in tools like Git-based workflows and documentation platforms
Collaborate with engineering, analytics, and business teams to translate requirements into scalable solutions

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