Jobs at Félix (felixpago)

Lead the agentic platform and AI agents roadmap, shipping autonomous agents for payment workflows. Drive LLM fine-tuning strategy, partner cross-functionally with engineering, design, and data science, and ensure governance, safety, and compliance for dependable fintech automation.

Lead the product vision and roadmap for an agentic AI platform, ship autonomous agents for fintech workflows, drive LLM fine-tuning strategy, partner with Engineering/Design/Data Science, and ensure governance, safety, and compliance for production agents.

Design, build, and productionize stateful autonomous AI agents for a WhatsApp fintech product. Implement LLMOps, observability, containerized deployments, evaluation pipelines, performance/cost optimizations, and mentor junior engineers.

Lead design and scaling of a unified fraud and risk platform. Own roadmap, fraud metrics, SQL-based analysis, A/B testing, real-time detection models, and cross-functional delivery to balance customer experience and risk mitigation.

Design, build, and scale production-grade, stateful autonomous AI agents; integrate agents into payments, fraud, and core product systems; implement LLMOps, observability, and evals-as-code; optimize RAG/vector DB pipelines for performance and cost; handle containerization, CI/CD, and post-launch stability; mentor engineers and drive best practices.

The AI Engineer will design, build, and scale autonomous AI agents, optimizing LLM capabilities and integrating them into the product, ensuring functionality across financial services.

Design, build, and scale production-grade, stateful autonomous AI agents for a WhatsApp-based fintech. Implement LLMOps, observability, RAG/vector DBs, containerized deployments (Docker/Kubernetes), eval pipelines, cost/performance optimizations, and mentor engineers to ship robust, tested agentic systems integrated with payments, fraud, and core product infrastructure.

Lead and mentor an AI engineering squad to design scalable architectures, prioritize technical roadmap with Product, track metrics (usability, retention, F1), drive deliverables, optimize processes, leverage AI tooling, and produce documentation to enable long-term technical success.

The Head of Fintech Partnerships will oversee the financial infrastructure, manage relationships with various financial vendors, and lead partnerships to enhance Felix's payment capabilities.

Design, build, and scale production-grade, stateful AI agent systems integrated into core product flows. Implement LLMOps, observability, containerized CI/CD deployments, RAG/vector DBs, evaluation pipelines, performance/cost optimizations, and mentor junior engineers.

Design, build, and scale production-grade, stateful LLM agents and integrations for payments, fraud, and loans. Ship hardened systems (Python, Docker/Kubernetes), implement LLM observability, optimize RAG/vector DB pipelines, create evals-as-code, and mentor engineers.

Design, build, and scale production-grade, stateful autonomous AI agents for a WhatsApp fintech product. Implement LLMOps, observability, containerized CI/CD deployments, RAG/vector DB pipelines, evaluation frameworks, and cost/performance optimizations. Mentor engineers and integrate agents with payments, fraud, and core infrastructure.

Design, build, and scale production-grade, stateful AI agents integrated into payments, fraud, and product systems. Implement LLMOps observability, containerized deployments, evals-as-code, performance/cost optimizations for RAG pipelines, and mentor engineers to productionize robust agentic workflows.

Lead the fraud data science team to design, build, deploy, and monitor real-time fraud detection models. Perform feature engineering, unsupervised analysis, A/B testing, stakeholder collaboration, and dashboarding to reduce fraud losses and improve model performance and explainability.

As the Identity Product Manager, you will oversee the strategy and development of the identity platform, focusing on customer identification, authentication, and account management. You will collaborate with cross-functional teams to ensure platform extensibility, data integrity, and security while driving significant business impact.

Lead loss mitigation, predictive collections, and loss forecasting (CECL) for consumer lending. Build data models and contact strategies, align conversational operations, manage credit loss budgets, vendor selection, and present risk insights to executive stakeholders.

Lead design and execution of loss mitigation, predictive collections, and CECL loss forecasting. Build data models and contact strategies, align conversational operations, manage credit loss budgeting, and evaluate third-party vendors to maximize recoveries and protect the balance sheet.

Design and own loss mitigation, predictive collections, and CECL loss forecasting. Partner with Operations to implement conversational contact strategies (WhatsApp/SMS), build propensity-to-pay and recovery models, manage credit loss budgeting and capacity planning, and evaluate/onboard third-party collections vendors and software to protect capital and optimize recoveries.

Lead loss mitigation, forecasting, and collections strategy for consumer lending. Build CECL-based loss forecasts, predictive propensity-to-pay models, automated contact strategies (WhatsApp/omnichannel), manage credit loss budgets, and evaluate third-party recovery vendors while presenting impacts to executive leadership.

Lead credit analytics for the Send Now Pay Later product: build and own valuation and vintage models, manage credit policies, monitor portfolio health and NPL trends, integrate ML scorecards, and evaluate alternative data to optimize approvals and loss performance.