AI Engineer I

Role overview The AI Engineer will build the data and AI systems that support go-to-market teams. The work combines data pipelines, analytics, and production LLM applications, including agents and automations used by Sales, Marketing, and Finance. You’ll also help ensure integrations run reliably through testing and monitoring.

Responsibilities - Build and operate data pipelines connecting CRM, billing, and analytics systems. - Maintain go-to-market analytics models and dashboards. - Develop and deploy LLM-based agents and automations for business teams. - Productionize integrations with appropriate tests and monitoring.

Requirements - At least two years of production experience with Python and SQL. - Strong fluency with AI concepts and applications. - Experience with a cloud data platform; AWS is preferred. - Experience developing LLM applications, including prompting, tool use, and evaluation. - Experience integrating REST APIs. - Familiarity with Git-based engineering practices.

Nice to have - Experience working with CRM data, such as Salesforce or HubSpot. - Experience with Databricks or Snowflake.

Benefits and work setup - Listed annual fixed pay range: GBP £46,000–£57,000, plus variable compensation; final pay depends on qualifications, experience, and location. - Benefits include paid parental leave, flexible time off, spending accounts, medical, dental, and vision coverage, and a sabbatical after five years.