Staff Applied AI Engineer

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.
Pay Range and Compensation Package:
The pay range and compensation package for this role will be determined based on the candidate's experience, skills, and other relevant factors.
Equal Opportunity Statement: Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, or national origin.
Note:
RemoteHunter is a recruitment partner of this role. Please note that all employment decisions, including candidate assessment, interviews, hiring, compensation, and employment terms, are made exclusively by the hiring employer.

Work arrangement
Yes