Staff Applied AI Engineer

About the role

About Our Client:The organization operates in the financial technology sector, aiming to enhance the financial well-being of millions by providing services that improve users' understanding of their finances, help reduce wasted spending, and manage bills and subscriptions effectively. It focuses on creating AI-powered customer assistance systems that safely and reliably complete financial tasks through various contact methods.

About the Opportunity:The STAFF APPLIED AI ENGINEER will develop and manage the Capabilities Engine, a core platform enabling intelligent agent behaviors across the organization's AI-driven products. This role is pivotal in transforming abstract product requirements into reliable, observable, and production-ready technical solutions that improve customer interactions and task completion across multiple communication methods.

Responsibilities

• Build, evolve, and maintain the Capabilities Engine platform.
• Design abstractions for capability discovery, invocation, composition, observation, and improvement.
• Collaborate with owners of various contact methods to enhance agentic functionality and integration.
• Identify and implement reusable capabilities and operating practices across methods.
• Guide monitoring and optimization of capability execution focusing on reliability, latency, cost, observability, and safety.
• Develop evaluation mechanisms including offline tests, production metrics, and qualitative reviews.
• Debug complex issues involving models, tools, orchestration, product constraints, and downstream systems.
• Translate ambiguous product needs into shippable technical plans and durable systems.
• Partner with cross-functional teams to ensure capabilities serve user needs effectively and safely.
• Mentor engineers to foster technical excellence and influence group standards.
• Document system behaviors, capability contracts, and operational expectations.
• Support high-priority method work to accelerate agentic behavior and resolve production challenges.
• Stay informed on applied AI engineering advancements to enhance product reliability.

Requirements

• Experience delivering production software with strong engineering fundamentals.
• Interest and experience with AI as an execution layer, including orchestration, tools, workflows, evaluation, and recovery.
• Practical familiarity with LLM applications, agentic systems, tool invocation, retrieval, workflow orchestration, or applied AI products.
• Strong product judgment linking customer needs to technical architecture.
• Ability to work effectively amid ambiguity and make strategic tradeoffs.
• Experience building platform abstractions and shared services to support multiple teams.
• Commitment to high-quality, reliable, and trustworthy systems.