GenAI Native Product Engineer

Paysafe • Jacksonville, FL

22h

About The Position

About Paysafe
Paysafe is a global payments platform powering the experience economy, with a strong focus on the iGaming, video gaming, e-commerce, retail, travel and hospitality sectors. With 30 years of expertise in payment technology, Paysafe helps businesses and consumers lift every experience through seamless, secure payment solutions, including card payments, digital wallets such as Skrill, eCash solutions like PaysafeCard, and a suite of local payment methods. With approximately 2,900 employees across 12 countries and annualized transactional volume of $167 billion in 2025, Paysafe connects people and businesses worldwide through innovative digital payment experiences.

We’re building GenAI-native tools that don’t just work — they become part of how the company operates.
You’ll join a small, empowered product team delivering production AI systems used by real internal teams and merchants. This is startup speed with real operational impact inside a regulated fintech environment. This is not a research or PoC initiative — systems built by this team are expected to reach production, be adopted, and make measurable difference in how work gets done.
We experiment quickly, but we also own what we ship: reliability, usability, and adoption.

Requirements

• Have built and operated real production systems and want to apply that rigor to GenAI products
• Be familiar with modern LLM ecosystems and eager to evaluate and evolve approaches rather than follow a fixed framework
• Think in systems, feedback loops, and operational behavior — not just features
• Be comfortable working in 0→1 environments while bringing structure and reliability
• Care about usability, developer experience, and operator trust in AI outputs

Nice To Haves

• experience with evaluation, observability, or operating ML/AI systems in production

Responsibilities

• Ship to production, measure usage, and iterate based on real feedback and operational data
• Partner with domain experts to replace manual decision workflows with reliable, auditable AI-assisted systems
• Design and operate GenAI solutions including retrieval, evaluation, monitoring, and cost-aware inference pipelines
• Build end-to-end AI products across UI, services, and platform layers (stack chosen pragmatically)
• Create reusable AI capabilities and internal platforms other teams can safely build on
• Design human-AI interactions where outputs are understandable, verifiable, and actionable
• Release incrementally to real users and continuously improve based on adoption and performance metrics

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed