Technical Member of Staff 6, Lead Software Engineer

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. 

What you will do 

• 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 

To be successful you should 

• 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 

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

Why join 

You will help define how AI is safely and effectively used across the organization — not just build isolated tools. 

We deploy AI into real operational processes where reliability, governance, and auditability matter. The problems are closer to decision-making and workflow transformation than chatbots. 

The team has dedicated infrastructure, security-approved experimentation environments, and a clear path from prototype to production. 

Success here is measured by adoption, reliability, and business impact — not by demos or presentations. 

If you like building new systems, seeing people rely on them, and shaping how a large company actually works, you’ll feel at home.

We offer in return:  

• The opportunity to write the history of a leading and growing multinational company   

• Tailor-made training and ongoing development to help you enhance your skills in the field of online payments   

• Multiple career progression opportunities in a dynamic in-house business   

• Environment where product expertise, professional and personal commitment are rewarded   

• Competitive remuneration and social benefits package (25 days annual paid leave, 4 days paid volunteering time a year through our Paysafe Giving initiative, health insurance, sports card, team events, company discounts, variety of soft skills, business and technical training programs)   

• Fun and collaborative working atmosphere   

• Flexible working model - we encourage our employees to embrace our flexible working approach. You will be expected to work from home and spend an average of three days a week at our Sofia office as part of our hybrid work model  

Are you ready to take your career to the next level? Join our team that is inspired by a unified vision and propelled by passion.  

Send your CV in English.  

Only shortlisted candidates will be contacted for an interview.  

Wondering how our interview process looks like now? Learn more here: https://bit.ly/paysafeinterviews  

Equal Employment Opportunity  

Paysafe provides equal employment opportunities to all employees, and applicants for employment, and prohibits discrimination of any type with regard to ethnicity, religion, age, sex, national origin, disability status, sexual orientation, gender identity or expression, or any other protected characteristics. This policy applies to all terms and conditions of recruitment and employment.  If you need any reasonable adjustments please let us know.  We will be happy to help and look forward to hearing from you.