AI Product Engineer

Job Description

Join our team as an AI Product Engineer and play a pivotal role in constructing, integrating, and operating AI-driven financial solutions. You'll be instrumental in shaping the products of the FinOps Directorate, ensuring high-quality deliverables in short releases, maintaining QA-as-code coverage, and preventing critical technical debt. You will orchestrate AI agents to accelerate the development lifecycle, connecting each delivery to a measurable corporate KR through the 'Golden Thread'. Responsibilities include orchestrating AI agents (Cursor, Gemini 1.5 Pro, n8n) for coding, integration, and automated validation of FinOps modules such as Intelligent Reconciliation, Smart Collections, Financial Core, Service Payment, and Billing. Additionally, you'll design and implement integrations with payment APIs, banks, and core systems, adhering to BIAN standards and microservices architectures. You'll also implement automated validation pipelines from the start of each sprint, ensuring test coverage, early detection of regressions, and production quality in every release. Collaborate with the Squad Architect to design robust technical solutions within KashioOS. Implement technical observability dashboards in KashioOS, measuring latencies, error rates, API availability, and reconciliation SLAs.

Qualifications

1. Minimum of 3 years as a Software Engineer, Backend Engineer, or Full-Stack Developer in Fintech, Payments, or SaaS B2B environments. 2. AI-Ready mindset: Practical experience orchestrating AI agents for development (Cursor, n8n, Gemini 1.5 Pro, Google Studio, Claude) as coding and automation co-pilots daily. 3. Solid proficiency in integrating financial REST/GraphQL APIs, microservices architectures, and event-driven patterns (Kafka, RabbitMQ, or similar). 4. Ability to execute with short deliveries and release-based delivery: technical planning in sprints, technical debt management, and meeting deadlines with full visibility in KashioOS. 5. Experience implementing QA-as-code: automated unit, integration, and contract tests within CI/CD pipelines (GitHub Actions, GitLab CI, or equivalents). 6. Knowledge of financial and security standards: BIAN, PCI-DSS, ISO20022.

Benefits

- Direct participation in the company's financial success through stock options, with a liquidity event target. - Structured time within the workday to experiment, learn, and scale your skills with the latest AI tools. - A 100% remote, dynamic, and diverse environment with world-class talent committed to excellence and innovation.