AI Engineer, Cyera
SKILLS
FULL DESCRIPTION
AI Engineer, [Employer hidden — view at passion-project.co.uk]
Company: [Employer hidden]
Location: Remote
Salary: $150-185k
Experience Level: Mid and Senior level
Job Type: Full-time
Work Type: Remote
About the Role
We are seeking a technically strong AI Engineer to architect and deploy intelligent systems that transform how Marketing operates. This role sits within Marketing Operations and is responsible for building scalable, production-grade AI systems that drive efficiency, automation, and measurable revenue impact. This is a hands-on engineering role focused on applied AI — designing, integrating, and operationalizing AI systems within our marketing and revenue technology stack.
What the job involves
- 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
Who you are
- The ideal candidate combines strong software engineering fundamentals with experience building LLM-powered applications and automation systems in production environments
- 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
Desirable Skills
- 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)
- 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
Company Information
Company Size: 501-1000 employees
Industry: B2B, Security, Cyber Security, Cloud Computing
Status: Open for applications
About [Employer hidden]
Cloud-native data security platform
With the allure of agility and globalization, companies are shifting to the cloud in record numbers. But in an environment of worsening cyber-threat, data protection must shift with them. [Employer hidden], founded in 2021 and emerged from stealth in 2022, responds to the lack of cloud-based, data-conscious security support for companies. Previously, discovering and securing data in the cloud was written off for being tedious and challenging. Using advances in data science, [Employer hidden] has built a data reality platform which provides a complete picture across all cloud-based data repositories. It enables instant, automatic data reality, and is set to define how companies do cloud data security. The quick and clear picture provided to security teams by [Employer hidden]’s platform has gained them rapid traction among Fortune 500 companies. Just ten months after formation, [Employer hidden] raised considerable funding led by Sequoia Capital, alongside Accel and Cyberstarts. The company raised a further $100M in June 2023 - led by Accel - which is being put towards the continued improvements in the functionality of the platform.
How to Apply
Apply