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Hi thereWe are South and our client is looking for an AI / Machine Learning EngineerNote To ApplicantsEligibility: This position is open to candidates residing in Latin America.Application Language: Please submit your CV in English.Applications submitted in other languages will not be considered.Professional Presentation: We encourage you to showcase your professional experience by including a Loom video in the application form.While this is optional, candidates who provide a video presentation will be given priority.Note: If you're hired for this role, you may be asked to update your LinkedIn profile :)Job SummaryOur US-based client is looking for a ML / AI Engineer to join our team as we build and validate our next-generation fintech platform.This is an opportunity to help design and implement intelligent systems that bring clarity, confidence, and proactive guidance to personal finance.We're building AI that works with people—not instead of them.Our focus is on trust, context, and real-world decision-making, not novelty demos.If you're excited by applying AI to meaningful, high-stakes problems and shaping how intelligent systems show up in people's lives, this role may be a great fit.What You'll DoDesign and build AI-driven features using modern machine learning and large language models (LLMs), with a focus on trust, accuracy, and explainabilityCollaborate closely with product, front-end, and back-end engineering to integrate AI seamlessly into user workflowsHelp architect and evolve agent-based systems (e.g., Personal CFO / Financial Controller agents) that reason across financial data, context, and user intentDevelop pipelines for data ingestion, enrichment, and inference across structured and unstructured financial dataEvaluate, test, and deploy models responsibly—balancing performance, cost, and user experienceStay up to date with advances in AI/ML and help guide Olomon's long-term AI directionBuild with empathy—always considering how intelligent systems impact trust and real financial decisionsIn addition to the above, this is a chance to help shape not only your role, but how AI becomes a trusted partner in the financial lives of thousands of users.Who you areAre you energized by the challenge of turning complexity into clarity?Do you believe AI should reduce stress and increase confidence for real people making real decisions?We're looking for someone who thrives in early-stage environments.You're comfortable operating across experimentation and production.You take ownership, ask thoughtful questions, and understand that in fintech, correctness and trust matter as much as innovation.You're a problem solver.A systems thinker.A builder who understands that great AI is as much about judgment and design as it is about models.You Have Experience WithMachine learning fundamentals and applied model developmentLarge Language Models (LLMs) and prompt / orchestration patternsPythonData pipelines and model deployment in production environmentsAPIs and services that integrate ML into product workflowsCloud platforms (Google Cloud preferred)Having built something with retrieval-augmented generation (RAG), embeddings, vector databases, or hybrid search approachesNice to have:RequirementsThese are not requirements—but areas where deeper experience could accelerate impact and help shape the future of Olomon's AI platform:Experience building or contributing to agent-based or multi-step AI systems, including reasoning, planning, or orchestration patternsExposure to financial data, fintech, or other high-trust domains where accuracy, explainability, and security matterExperience fine-tuning or evaluating LLMs and understanding tradeoffs between accuracy, latency, and costComfort designing AI systems that operate in collaboration with humans, not just automation in isolationExperience working in early-stage or fast-moving environments, where ownership and adaptability matterCuriosity about AI ethics, data privacy, and responsible deployment, especially in user-facing productsWe're excited about candidates who may not check every box but bring strong fundamentals, curiosity, and a desire to grow into increasingly complex and meaningful AI work.Who we areOur US-based client is a fintech SaaS company redefining collaborative personal finance.Their mission is to help people enjoy today while confidently preparing for tomorrow.The founding team recently exited our previous company and we're applying that momentum to build something meaningful again.We're humble, hardworking, and believe in transparency, trust, and putting people first—our team and our users.The company's tech stack is built on Google Cloud, Ruby on Rails, React, and Storybook.Schedule & Working hours:This is an 8-hour shift full-time job.We ask for at least a 9 AM–4 PM CT overlap (You can work 7 am to 4 pm CST or 9 am to 6 pm CST).Perks10 days of PTO after the 3 months in the company, flexibleUS holidays + most important local holidaysIf this opportunity sounds good to you, send us your resume#J-*****-Ljbffr
