About Feedzai
Feedzai is the world’s first RiskOps platform for financial risk management, and the market leader in safeguarding global commerce with today’s most advanced cloud-based risk management platform, powered by machine learning and artificial intelligence. Feedzai is securing the transition to a cashless world while enabling digital trust in every transaction and payment type. The world’s largest banks, processors, and retailers trust Feedzai to protect trillions of dollars and manage risk while improving the customer experience for everyday users, without compromising privacy. Feedzai is a Series D company and has raised $282M to date. With a valuation of $2 billion, our technology protects 1 billion consumers and 90 billion transactions each year.
The Engineering (Tech) Team
The Engineering (Tech) Team is responsible for all Feedzai product development. Together with Product Management and Data Science, we build the next generation of tools to catch fraud in real-time with a machine learning first approach. Formed by engineers and managed by engineers, at Feedzai, you will find one of the most talented teams out there, from junior to senior engineers.
We are fast-paced and provide a safe, open, and collaborative environment that encourages us to lean in, try new things and discover our potential with continuous learning for everyone.
While building the best value for our customers, you will work with a wide range of technical challenges. Such as building distributed systems that need to operate 24/7 and ultra-low latencies, solving UI/UX problems to help fraud analysts to fight fraud more efficiently. In addition, designing extensive databases from relational, NoSQL and graphs, validate and develop new data science techniques and algorithms.
About the Role
As an AI Engineer, you will be a core contributor to the design and development of GenAI-based product frameworks and services that enable natural language interaction, intelligent automation, and agent-based workflows across Feedzai’s ecosystem. You will work at the intersection of backend engineering, applied AI, and platform development, helping multiple product teams build AI-powered features in a secure, scalable, and standardized way.
You will work on foundational technology that enables multiple product teams to innovate faster and deliver intelligent, agent-driven capabilities to customers. Your work will directly influence Feedzai’s product strategy and the way users interact with our platform.
This role is not about experimentation in isolation. It is about bringing Generative AI into production-grade platforms that serve mission-critical financial systems, with a strong focus on reliability, security, and user trust.
- Play a key role in shaping how Generative AI transforms Feedzai’s products, user journeys, and internal engineering practices, introducing new interaction paradigms and accelerating how innovation reaches customers.
- Thrive at the boundary between software engineering and applied AI. You are curious about how Generative AI can fundamentally change how users interact with complex systems and enjoy turning cutting-edge ideas into robust, production-ready capabilities.
- Embrace modern engineering workflows and actively use Generative AI tools (such as Cursor, Copilot, or similar) to accelerate development, explore solutions, and iterate quickly. You see GenAI not only as a product capability but also as a force multiplier for how engineering itself is done.
- Combine speed with rigor: moving fast while maintaining high standards for code quality, security, and production readiness.
- Have a strong builder mindset: you prototype quickly and evolve solutions into scalable platform capabilities
- Think in platforms, not just features. You enjoy building reusable frameworks, APIs, and infrastructure that empower other teams and set technical direction across products.
- Comfortable navigating ambiguity, exploring new problem spaces, and helping shape both technical direction and product vision in an emerging domain.
Our philosophy across Engineering includes the following key ideas, which you will have a key role promoting in your team:
- Teams operate with a “you build it, you run it” DevOps mindset, taking end-to-end ownership of development, deployment, and operations. You'll drive a culture focused on automation, observability, and operational excellence, enabling continuous delivery with confidence.
- Architecture evolves towards a decoupled, microservice-based architecture, positioning it to scale efficiently in a multi-tenant, cloud-native environment. This effort is central to Feedzai’s long-term vision and product evolution
Your Day to Day:
- Design and implement core GenAI platform components that enable intelligent agents and AI-driven user experiences across Feedzai products.
- Architect and build backend services and APIs that integrate large language models into critical product workflows in a secure and scalable way.
- Define technical standards and best practices for agent development, model access, authentication, security, and governance.
- Drive architectural decisions for GenAI workloads, balancing performance, cost, reliability, and user experience.
- Collaborate closely with product managers, designers, data scientists, and senior engineers to shape AI-powered user journeys and product capabilities.
- Ensure strong observability, cost control, and operational stability of GenAI systems in production.
- Prototype new interaction paradigms using natural language, automation, and agent-based systems and mature them into long-term platform services.
- Own services throughout their lifecycle following DevOps principles (“you build it, you run it”).
- Continuously evaluate emerging AI technologies and translate them into practical, scalable engineering solutions.
- Leverage GenAI-assisted development tools to prototype, implement, and iterate on platform capabilities quickly, while maintaining strong engineering and security standards.
Requirements
- 5+ years of experience building complex production software systems.
- Strong programming skills in Java and Python; Scala are a plus.
- Proven experience designing and operating backend services and APIs in cloud-native environments.
- Hands-on experience with Generative AI systems (LLMs, embeddings, vector databases, prompt pipelines, or agent frameworks).
- Strong understanding of distributed systems, reliability engineering, and security principles.
- Experience with continuous delivery, monitoring, and operational ownership of services.
- Ability to work autonomously and take ownership of ambiguous, high-impact technical problems.
- Strong technical communication and collaboration skills.
Preferred/Valued Qualifications and Skills:
- Experience building AI-powered products or platforms used by external customers.
- Familiarity with LLM gateways, orchestration frameworks, or agent-based architectures.
- Experience with Kubernetes and cloud-native architectures (AWS preferred).
- Understanding of cost optimization and observability for AI workloads.
- Background in fintech, fraud prevention, or other mission-critical domains.
- Contributions to open-source AI or distributed systems projects.