AI Engineer - People Analytics

Description

Job Summary: We are seeking a professional to design, scale, and maintain the HR data architecture, develop predictive models in People Analytics, and implement generative AI solutions. Key Highlights: 1. Transforming corporate finance in Latin America through technology. 2. Solving high-impact, interesting challenges in a dynamic environment. 3. Building innovative solutions in a rapidly changing environment. \uD83D\uDE80 **Why Join Xepelin?** Xepelin is transforming corporate finance in Latin America with a *suite* of products that automate financial management and facilitate access to liquidity. With the goal of becoming the digital CFO for every business, it has developed financial technology that impacts the entire business ecosystem. Leveraging *data* collected from the interaction of \+1M companies within its *network*, Xepelin builds a business intelligence system that provides visibility into financial indicators and risk assessments of collaborating networks—enabling faster and safer decision-making. **Our Principles: How We Operate** \uD83C\uDFAF We put our customers at the center ✨ We believe and inspire \uD83E\uDDD1\u200D\uD83D\uDCBC We act as owners \uD83C\uDFC5 We lead by example \uD83C\uDFC6 We challenge ourselves to win \uD83E\uDDE0 We take intelligent risks \uD83E\uDD16 We harness the power of technology **What Are We Looking For?** At Xepelin, we’re looking for creative, visionary individuals who think outside the box to join our team. If you’re passionate about solving high-impact, interesting challenges—and want to be part of a dynamic environment transforming the financial industry—this opportunity is for you! If you’re motivated by the challenge of building innovative solutions in a rapidly changing environment, we’d love to meet you. Join us—let’s grow together! **Key Responsibilities:** * **HR Data Architecture & Integrations:** + Design, scale, and maintain the foundational data layer by structuring information sourced from **HiBob** and **Lever**. + Create and operationalize new end-to-end data services to monitor the *Employee Life Cycle*: cost structure by department, talent acquisition metrics, turnover, eNPS, performance, and critical talent tracking. * **Predictive Modeling Development:** + Implement machine learning models applied to People Analytics, such as *attrition* (talent loss) risk prediction, recruitment *time-to-fill* forecasting, and headcount projections/planning. * **Automation & Generative AI (Agents & RAGs):** + Design and implement self-service **AI agents** to resolve queries about internal policies, benefits, and vacation time (ensuring evaluation/eval metrics). + Apply NLP techniques (e.g., *topic modeling* and *sentiment analysis*) via agents to process and extract value from unstructured feedback in surveys, *exit interviews*, and performance *feedback*. * **Governance, Quality & Technical Maintenance:** + Implement and maintain data pipelines and integrated LLM/agent solutions on our internal technical platform (Atlas) through efficient workflows. + Ensure best practices in data engineering and ML/AI: technical documentation, code reviews, prompt versioning, latency monitoring, API cost control, and context management. ### **What Do You Need to Shine?** * Bachelor’s degree in Computer Engineering, Industrial Engineering, or a related field. * Minimum 3 years of experience leading People Analytics initiatives. * Strong proficiency in Python for application development, API integration, and data structures. * Hands-on experience with RAG systems and pipeline construction. * Knowledge of GCP, Vertex AI, Cloud Run, and BigQuery. * Practical experience with intermediate-to-advanced SQL and data handling/transformation tools such as Composer. * Experience with Model Context Protocol (MCP) or multi-tool agent frameworks. * Experience with LLM evaluation architectures: quality metrics, hallucination detection, and prompt benchmarks. * Familiarity with MLOps/LLM Ops practices (Git versioning, CI/CD, Docker containers, observability). * Knowledge of agent orchestration frameworks such as LangChain, LangGraph, and LlamaIndex; vector database expertise. * Experience in fintech or the financial industry is a plus. #LI-LO1 **Our Benefits:** \uD83C\uDF34 **Xepelin Balance** **Vacation Days:** 15 business days. For each year completed at Xepelin, you earn one additional vacation day. **Balance Days:** 10 extra flexible days per year, to use however you like. **Flexible Benefits:** Monthly flexible points in your local currency to spend on anything you choose. \uD83D\uDE80 **Xepelin Performance & Career** **Training Platforms:** Partnerships with top platforms including Udemy and Google Cloud Skill Boost. **Welcome Kit:** Everything you need to begin your journey at Xepelin \uD83D\uDE0A \uD83E\uDD1D **Xepelin Cares** **Health Coverage:** Quality health provider agreements—or reimbursements—based on your country of residence. **Postnatal Leave:** An additional week of postnatal leave. We care about your time with family and loved ones! **Marriage Plus:** Elevate your plans with a gift card and extend your legal marriage leave by two extra days courtesy of Xepelin. We may use artificial intelligence (AI) tools to support parts of the hiring process—including application review, CV analysis, or response evaluation. These tools assist our recruiting team but do not replace human judgment. Final hiring decisions are ultimately made by people. For more information about how your data is processed, please contact us.