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Tebra

We empower independent practices to bring modernized care to patients everywhere.

Senior AI Automation Engineer

QA Automation EngineerQA Automation EngineerFull TimeRemoteSeniorTeam 501-1,000H1B SponsorCompany SiteLinkedIn

Location

United States

Posted

13 days ago

Salary

$127K - $145K / year

Seniority

Senior

Bachelor Degree5 yrs expEnglishAWSCloudGoogle Cloud PlatformPythonRuby

Job Description

Senior AI Automation Engineer

Tebra

• Design, build, and optimize integrations, automations, and advanced AI workflows including agentic architecture. • Own the Workato automation stack, engineer scalable AI workflows on core platforms (Salesforce, NetSuite, Snowflake, Slack). • Collaborate directly with stakeholders to translate business needs into scalable, automated solutions and deliver measurable improvements in system efficiency and operational performance. • Implement error handling, observability, and reusable design patterns to ensure reliability and scalability. • Architect multi-agent systems for tool selection, planning loops, state management, and human-in-the-loop Checkpoints. • Own the Retrieval-Augmented Generation (RAG) lifecycle end-to-end including ingestion, chunking strategy, embeddings, vector storage, and reranking. • Production observability: prompt/response tracing, cost monitoring, eval dashboards.

Job Requirements

  • 5+ years of experience in integration, automation, AI, or software engineering, with 1+ year hands-on in Workato.
  • Proven expertise with Enterprise iPaaS required (Workato, Mulesoft, or similar).
  • Deep proficiency in designing, implementing, and architecting complex AI workflows and integrations across core platforms (Salesforce, NetSuite, Slack, and Snowflake).
  • Hands-on technical background in programming (Python, Ruby, or similar), leveraging APIs to build and maintain scalable, high-fidelity enterprise systems.
  • Experience using vector databases such as Pinecone, Snowflake Cortex Search, and pgvector for Retrieval-Augmented Generation (RAG).
  • Experience with AI/ML concepts and implementing agentic architecture and AI workflows in enterprise environments.
  • Experience with Cloud Platforms such as GCP or AWS preferred.
  • Experience with GitHub for version control, Jira for work tracking, and Confluence/Lucid for documentation.
  • Strong problem-solving, critical thinking, and ability to execute under minimal supervision.
  • Motivated to learn new technologies and develop new skills.
  • Track record of introducing innovation in automation and AI while maintaining governance and system reliability.
  • Workato Automation Pro , Foundations or SnowPro certifications preferred.

Benefits

  • Health insurance
  • Flexible work hours
  • Paid time off
  • Remote work options
  • Wellness programs

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