AI Engineer

Quartz is reimagining wealth management through personalised intelligence with an AI-powered platform. The AI Engineer will own and evolve Charlie, its production personal-banker assistant, focusing on reasoning, safety, evaluation, reliability, cost, and compliance for real customers in a regulated financial context.

Responsibilities:

• Own and evolve the Charlie runtime end to end: agent roles and handoffs, prompt and tool architecture, model routing across providers, conversation memory, and the MCP integrations that give Charlie typed access to data in our Kotlin backend
• Design and maintain the guardrails that keep Charlie accurate, compliant and on-brand, including what it must not do in a business that is not yet authorised to give regulated financial advice
• Build and run our evaluation pipeline: define quality and relevance metrics, curate eval sets from real conversations, and gate releases on them so regressions never reach members
• Drive reliability and cost: instrument every conversation, hunt down failure modes such as loops, duplicated actions and tool misuse, and keep inference spend proportional to the value delivered
• Evaluate and integrate external capabilities (web search, market data, model providers) and make clear build-versus-buy recommendations
• Work with product and the wider engineering team to turn wealth guidance logic into behaviour Charlie can execute safely, and feed what you learn from conversations back into the roadmap
• Set the standards for how we build with LLMs at Quartz: testing, observability, prompt versioning and release discipline