AI Automation Engineer

Tebra is the only all-in-one EHR+ platform built exclusively for independent healthcare practices. They are seeking a hands-on AI & Automation Engineer to design, build, and optimize integrations and AI-driven workflows that enhance enterprise data and business operations.

Responsibilities:

• Design, build, and maintain Workato recipes, connectors, and orchestrations for Salesforce, NetSuite, Slack, and Snowflake
• Implement error handling, observability, and reusable design patterns to ensure reliability and scalability
• Architect multi-agent systems: tool selection, planning loops, state management, human-in-the-loop Checkpoints
• Partner with stakeholders to design corporate systems (Salesforce, NetSuite, Snowflake, Slack, etc) as agent-callable tools, not just data sources
• Build guardrails, fallbacks and error recovery for non-deterministic workflows
• Develop and automate ELT/ETL processes to support both BI Analytics and AI retrieval across similar datasets with different access patterns
• Build evaluation into every pipeline to ensure high quality results considering precision, answer faithfulness, latency and cost
• Own retrieval end-to-end including ingestion, chunking strategy, embeddings, vector storage and reranking as one connected system
• Implement data enrichment, quality checks, and architectural safeguards to maintain trusted datasets
• Production observability: prompt/response tracing, cost monitoring, eval dashboards
• Document agent behavior, decision logic and failure modes
• A/B testing agent versions, model comparisons
• Write modular, reusable scripts in Python, Ruby, SQL, or JavaScript to support integration, data transformation, and automation tasks
• Apply data governance practices for lineage, security, and retention
• Maintain technical documentation, diagrams, and version control via GitHub, Confluence, and Jira

Requirements:

• 2-5 years of experience in integration, automation, AI, software or data engineering, with 1+ year hands-on in Workato
• Proven expertise with Enterprise iPaaS required (Workato, Mulesoft, or similar)
• Proficiency in designing and implementing integrations across Salesforce, NetSuite, Slack, and Snowflake
• Hands-on technical background in ETL/ELT, Reverse-ETL, data modeling, SQL/T-SQL, and programming (Python, Ruby, or similar)
• Experience using vector databases such as Pinecone, Snowflake Cortex Search and pgvector
• Experience with AI/ML concepts and implementing AI workflows in enterprise environments
• Hands-on experience leveraging APIs and programming languages to build and maintain scalable enterprise integrations
• 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
• Experience with Cloud Platforms such as GCP or AWS preferred
• Proficiency with Snowflake, Salesforce, and NetSuite, with strong architectural and automation design skills preferred
• Workato Automation Pro or SnowPro certifications preferred