dLocal - Senior AIOps Engineer
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Requirements
• Technical Background: Bachelor’s degree in Computer Science, Engineering, or a related technical field (or equivalent practical experience). • 5+ Years of Experience: Experience in ML Engineering, Data Science, AI Engineering, Platform Engineering, or related roles with proven responsibility for ensuring the reliability, performance, and operational excellence of AI and Machine Learning systems in production environments. • AI & LLM Expertise: Practical experience working with LLMs, RAG architectures, embeddings, prompt engineering, evaluation frameworks, and inference trade-offs. Deep familiarity with LLM concepts such as tokenization, temperature, context windows, and latent representations. • Operations & Observability: Experience with CI/CD for AI systems, model versioning, experiment tracking, performance monitoring, and incident response. • Analytical & Comparative Mindset: Strong ability to evaluate competing AI systems, vendors, and architectures using measurable performance indicators. • Data-Driven Mindset: Experience with AI observability and evaluation platforms (e.g., LangSmith, Arize, HoneyHive) to drive improvements through structured metrics rather than intuition. • Builder Mentality: Comfortable maintaining and customizing AI information systems, including prompt repositories, skills libraries, orchestration tools, no-code/low-code platforms (e.g., n8n, Zapier, Replit, Glean), and system integrations. • Security & Compliance Awareness: Understanding of secure system design, data privacy, and operational controls within financial or regulated environments. • Collaborative Spirit: Proven ability to act as the connective layer between Engineering, Product, Data, and business stakeholders.
Benefits
• dLocal enables the biggest companies in the world to collect payments in 40 countries in emerging markets. Global brands rely on us to increase conversion rates and simplify payment expansion effortlessly. As both a payments processor and a merchant of record where we operate, we make it possible for our merchants to make inroads into the world’s fastest-growing, emerging markets. • By joining us you will be a part of an amazing global team that makes it all happen. Being a part of dLocal means working with 1000+ teammates from 30+ different nationalities and developing an international career that impacts millions of people’s daily lives. We are builders, we never run from a challenge, we are customer-centric, and if this sounds like you, we know you will thrive in our team. • Besides the tailored benefits we have for each country, dLocal will help you thrive and go that extra mile by offering you: • Flexibility: we have flexible schedules and we are driven by performance. • Fintech industry: work in a dynamic and ever-evolving environment, with plenty to build and boost your creativity. • Referral bonus program: our internal talents are the best recruiters - refer someone ideal for a role and get rewarded. • Social budget: you'll get a monthly budget to chill out with your team (in person or remotely) and deepen your connections! • dLocal Houses: want to rent a house to spend one week anywhere in the world coworking with your team? We’ve got your back! • Flexibility in how you work: We focus on impact and productivity over fixed hours. This means our teams have flexible schedules and, depending on your role and location, you will combine self‑managed focus time with moments of in‑person connection in our collaboration hubs. • What happens after you apply? • Our Talent Acquisition team is invested in creating the best candidate experience possible, so don’t worry, you will definitely hear from us. We will review your CV and keep you posted by email at every step of the process! • Also, you can check out our webpage, Linkedin and Youtube for more about dLocal! • We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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