Key skills
PythonSQLLLM-based application developmentLLM APIsVector databasesEmbeddingsRetrieval-augmented generation (RAG) architecturesAPI integrationWebhook integrationEvent-driven frameworksCloud platforms - AWSCloud platforms - GCPCloud platforms - AzureSystem designSecurity in distributed systemsReliability engineeringMarketing automation platformsSalesforce CRMBusiness intelligence toolsData enrichment workflowsOutbound automation workflowsAILLMRAGAgenticETLLookerBITableauPower BISnowflakeBigQuerydbtAWSAzureGCPSalesforceCRMSales
About this role
Cyera is a leading data security platform focused on reinventing how businesses secure data in the cloud era. The AI Engineer role is responsible for architecting and deploying intelligent systems that enhance marketing operations through scalable AI applications.
Responsibilities:
- Design and deploy AI-powered applications embedded within marketing and CRM infrastructure
- Build and productionize LLM-driven workflows, agentic systems, and retrieval-augmented (RAG) architectures
- Architect secure integrations across Salesforce, marketing automation platforms, data warehouses, and external APIs
- Develop scalable orchestration frameworks for AI workflows (event-driven, API-based, and automation-triggered systems)
- Implement monitoring, logging, evaluation, and guardrails for production AI systems
- Establish AI governance, access controls, and reliability standards within marketing systems
- Optimize performance, latency, and cost of AI-powered workflows
- Partner cross-functionally with Marketing, Revenue Operations, and Engineering teams to translate business requirements into scalable AI applications
Requirements:
- 4+ years of experience in software engineering or AI engineering
- Strong proficiency in Python and SQL
- Experience building and deploying LLM-based applications in production environments
- Experience working with LLM APIs, vector databases, embeddings, and RAG architectures
- Experience integrating systems via APIs, webhooks, and event-driven frameworks
- Experience deploying and maintaining systems in AWS, GCP, or Azure
- Strong understanding of system design, security, and reliability in distributed environments
- Direct experience working within or integrating with modern marketing and revenue technology stacks, including: Marketo (or similar marketing automation platforms such as HubSpot or Pardot)
- Salesforce (CRM architecture, objects, workflows, APIs)
- Tableau (or similar BI tools such as Looker or Power BI)
- Clay (data enrichment and outbound automation workflows)
- Additional beneficial technologies and platforms include: Snowflake, BigQuery, or other cloud data warehouses
- Segment or other CDPs
- Outreach, Salesloft, or similar sales engagement platforms
- Zapier, Workato, or other workflow automation tools
- Reverse ETL tools (Hightouch, Census)
- dbt or modern data transformation frameworks
- Familiarity with marketing lifecycle management, attribution workflows, lead routing logic, and revenue operations processes is highly advantageous