AI Engineering Team Lead

Revup Payments is a fintech leader in payment orchestration, providing businesses with seamless access to global payment solutions for over four years. Specializing in revenue optimization, we offer card processing and alternative payment methods enhanced by smart routing, fraud prevention, and an intuitive dashboard. Backed by a team of payment and fraud experts, our all-in-one platform is designed to maximize revenue, reduce costs, and improve the payment experience, all through a single API integration.

We are seeking an experienced and highly skilled AI Engineering Team Lead (Agents & Developer Productivity) to join our technology team at Revup Payments, a leading global Payment Orchestrator.

In this role, you will lead a team of talented engineers while remaining hands-on, driving the design, development, and adoption of AI-powered solutions, particularly AI agents to enhance our software development lifecycle and internal engineering workflows. Your mission will be to embed AI capabilities across the organization, improving developer productivity, code quality, and delivery speed.

You will work closely with engineering, product, and platform teams to identify high-impact opportunities where AI can optimize processes such as code generation, testing, incident analysis, and integration of payment methods (including card processing, eWallets, and Alternative Payment Methods).

Your technical expertise and leadership will be pivotal in ensuring our platform remains robust, scalable, and innovative, while evolving our engineering practices through the effective use of AI.

Key Responsibilities:

• Lead and mentor a cross-functional engineering team, fostering a culture of collaboration, innovation, and continuous improvement, with a strong focus on AI adoption.
• Drive the design, implementation, and evolution of AI-powered solutions, particularly AI agents, to enhance software development workflows, developer productivity, and operational efficiency.
• Act as a hands-on technical leader, actively contributing to system design, code reviews, and the development of AI-driven capabilities integrated into the platform.
• Identify and prioritize high-impact opportunities to leverage AI across the software development lifecycle, including code generation, testing, debugging, incident analysis, and documentation.
• Architect and implement scalable and secure systems that combine traditional backend engineering with AI components (e.g., LLM integrations, RAG pipelines, agent-based workflows).
• Collaborate with product, engineering, and business stakeholders to define AI use cases aligned with company goals and deliver measurable impact.
• Establish best practices for building, evaluating, and maintaining AI systems in production, including observability, performance, cost control, and reliability.
• Drive the adoption of AI tools and practices across engi