Applied AI Engineer

Cherry Ventures is hiring on behalf of an unnamed high-growth Series C fintech portfolio company. The Applied AI Engineer will build and operate production AI agents and intelligent product capabilities for finance teams, owning their architecture, evaluation, backend integration, deployment, and ongoing improvement.

Responsibilities:

• Design and build agents that automate complex finance workflows
• Own features from initial concept and prototype through production deployment
• Integrate agents deeply with backend services, APIs, the data model, permissions, and product workflows
• Design how agents securely access and use data across the platform
• Turn emerging AI capabilities into reliable, customer-facing product features
• Build systematic evaluations for agent quality, reliability, and business impact
• Create representative test datasets, evaluation criteria, regression tests, and human-review processes
• Measure and improve accuracy, latency, cost, and user experience
• Establish observability and feedback loops that make agent behavior understandable and continuously improvable
• Apply context-engineering techniques such as RAG, MCP, and knowledge graphs
• Design prompts, tools, memory, workflows, and orchestration strategies for production agents
• Select and use appropriate orchestration frameworks and comparable technologies
• Build appropriate guardrails, approval steps, and human-in-the-loop controls for sensitive financial workflows
• Collaborate with data scientists to integrate ML models into production systems
• Build the services, data flows, APIs, and operational tooling required to make models usable within the product
• Take responsibility for production integration rather than handing prototypes to another team