Note: The job is a remote job and is open to candidates in USA. Nexwave is seeking a highly skilled AI Integration & Automation Engineer with a strong background in enterprise iPaaS, AI engineering, data integration, and automation. The ideal candidate will have hands-on expertise in Workato and experience designing scalable enterprise integrations, AI-driven workflows, and RAG pipelines.
Responsibilities
- Design, develop, and maintain Workato recipes, connectors, and enterprise orchestrations across platforms including Salesforce, NetSuite, Slack, and Snowflake
- Implement reusable integration patterns, observability, monitoring, and error-handling mechanisms to ensure reliability and scalability
- Build scalable API-driven automation solutions supporting enterprise business processes
- Architect and develop multi-agent AI systems including:
- Tool selection frameworks
- Planning loops
- State management
- Human-in-the-loop workflows
- Transform enterprise platforms such as Salesforce, NetSuite, Snowflake, and Slack into agent-accessible tools rather than passive data sources
- Implement AI guardrails, fallback mechanisms, and recovery strategies for non-deterministic workflows
- Design and automate ETL/ELT and Reverse-ETL pipelines supporting both analytics and AI retrieval use cases
- Own end-to-end RAG architecture including:
- Data ingestion
- Chunking strategies
- Embedding pipelines
- Vector databases
- Retrieval optimization
- Re-ranking systems
- Build evaluation frameworks measuring precision, answer quality, latency, and operational cost
- Implement data enrichment, validation, governance, and quality assurance processes
- Monitor production AI systems including prompt/response tracing, evaluation dashboards, and cost optimization
- Document agent behaviors, decision-making logic, and failure patterns
- Conduct A/B testing for model performance, agent versions, and workflow optimization
- Develop modular and reusable scripts using Python, Ruby, SQL, or JavaScript for:
- Data transformation
- Workflow automation
- Enterprise integrations
- AI orchestration tasks
- Apply enterprise data governance standards for lineage, security, compliance, and retention
- Maintain technical documentation, architecture diagrams, and workflow documentation using GitHub, Jira, Confluence, and Lucidchart
Skills
- 5+ years of experience in AI engineering, integration engineering, automation engineering, software engineering, or data engineering
- Minimum 1+ year of hands-on experience with Workato
- Strong experience with enterprise iPaaS platforms such as Workato, MuleSoft, or similar technologies
- Expertise integrating enterprise systems including Salesforce, NetSuite, Slack, and Snowflake
- Strong background in: ETL/ELT, Reverse ETL, Data modeling, SQL/T-SQL, API integrations
- Proficiency in Python, Ruby, JavaScript, or similar programming languages
- Experience with vector databases including Pinecone, Snowflake Cortex Search, and pgvector
- Strong understanding of AI/ML concepts and enterprise AI workflow implementation
- Experience leveraging APIs to build scalable enterprise-grade integrations
- Hands-on experience with GitHub, Jira, and Confluence/Lucidchart
- Excellent problem-solving, analytical thinking, and independent execution skills
- Experience with cloud platforms such as AWS or GCP
- Strong architectural knowledge of Snowflake, Salesforce, and NetSuite ecosystems
- Experience designing enterprise AI automation frameworks and governance models
- Workato Automation Pro, SnowPro, or related certifications
- Proven ability to introduce AI innovation while maintaining enterprise reliability, governance, and scalability
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