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PayJoy is a mission-driven Public Benefit Corporation providing secured credit solutions to underserved customers in emerging markets. The company has served over 18 million customers and operates profitably using advanced machine learning, data science, and anti-fraud AI.
The AI & Automation Analyst bridges business needs and applied AI/automation technology, designing and deploying intelligent solutions that streamline processes, reduce manual work, and unlock new capabilities across the organization.
Key Responsibilities:
- Identify, design, and build AI/ML and automation solutions (LLM-based applications, agents, RPA, workflow automations) addressing business needs and reducing manual effort
- Develop, integrate, and deploy models and automation workflows into production, connecting them with existing systems, data sources, and APIs
- Build and maintain prompt engineering, retrieval (RAG), and evaluation pipelines to ensure quality, accuracy, and reliability of AI outputs
- Monitor, test, and improve deployed solutions, tracking performance, cost, latency, and accuracy; iterate based on feedback and metrics
- Partner with business and technical stakeholders to gather requirements, prioritize use cases, document solutions, and enable team adoption
- Apply responsible-AI, security, and compliance best practices (data privacy, bias mitigation, access controls, PII protection), coordinating with Security/IT and Data teams
Requirements:
- Proficiency in Python; experience with AI/ML frameworks and LLM APIs (OpenAI, Anthropic); automation/orchestration tools (n8n, Make/Zapier, Airflow); workflow/RPA platforms
- Familiarity with major cloud platforms (GCP/AWS/Azure), APIs/webhooks, and version control (Git)
- Applied machine learning and generative-AI knowledge (prompting, RAG, embeddings, fine-tuning), agent frameworks, integration patterns, and production deployment/monitoring experience
- Experience in fintech or high-volume environments valued
- Strong analytical and problem-solving skills, curiosity, fast learning, attention to detail, clear communication of technical concepts, cross-functional collaboration
- Desirable: vector databases, MLOps/LLMOps, data engineering/integrations, Zoho ecosystem, intermediate/advanced English (Portuguese a plus), prior AI/Automation Engineer role experience