• Design and implement APIs, databases, and backend services using Java, Spring Boot, OpenAPI, Kafka, Oracle PL/SQL, and PostgreSQL, following clean code and API-first principles • Develop responsive, user-friendly web interfaces with Angular and TypeScript, aligned with modern UX/UI standards • Automate deployment and testing pipelines using CI/CD tools such as Gradle, GitLab and OpenShift • Actively participate in code reviews, architectural discussions, and technical decision-making • Collaborate with product owners, architects, QA, and business stakeholders to translate business requirements into technical solutions • Build professional relationships with clients, management, and team members to ensure successful delivery of proposed solutions • Drive technical design decisions and question requirements when necessary • Propose architectural improvements to enhance modularity, scalability, performance, and security

• Develop and maintain backend systems using Go, with a focus on performance and concurrency • Build distributed, resilient applications • Work with Kubernetes-based infrastructure • Implement and evolve observability practices (tracing, metrics, and logs) • Develop and integrate APIs following security best practices • Collaborate with cross-functional teams to continuously evolve solutions • Ensure code quality, testing, and engineering best practices

• Develop and maintain scalable backend services using Java and Scala. • Design and implement data pipelines using Apache Spark (RDD, DataFrame, Dataset APIs). • Collaborate with cross-functional teams to gather requirements and translate them into technical solutions. • Optimize performance of data processing jobs and ensure efficient memory utilization. • Build RESTful APIs using Java frameworks like Spring Boot. • Integrate data pipelines with messaging systems such as Apache Kafka. • Write clean, modular, and testable code following best practices. • Participate in code reviews, debugging, and troubleshooting production issues. • Ensure application reliability through logging, monitoring, and alerting mechanisms. • Work in Agile/Scrum environments and contribute to sprint planning and delivery.

Role Description We are currently seeking a Senior RPA Engineer (UiPath) - LLM & Insurance Automation to join our team in Remote, México (MX-MEX), Mexico (MX). - Design, develop, and deploy end-to-end UiPath automation solutions across insurance operations. - Build Agentic AI workflows capable of autonomous decision-making in underwriting, claims adjudication, and policy processing. - Integrate LLMs (OpenAI/Azure OpenAI) into RPA solutions for: - Claims document summarization - Policy document interpretation - Risk assessment support - Customer communication automation - Implement Intelligent Document Processing (IDP) for FNOL, claims forms, medical reports, KYC, policy applications, and invoices. - Develop automation for core insurance systems (e.g., Guidewire, Duck Creek, Majesco, etc.). - Ensure compliance with insurance regulations (e.g., HIPAA, GDPR, NAIC, IRDAI, FCA depending on geography). - Build scalable RE Framework-based bots with strong exception handling and audit trails. - Lead architecture discussions and mentor junior developers. - Collaborate with underwriting, claims, actuarial, and compliance teams. Qualifications - 7+ years of hands-on experience in UiPath development. - Strong expertise in: - UiPath Studio, Orchestrator, AI Center - Document Understanding - RE Framework - API integrations - Proven experience in Insurance domain processes (Claims, Underwriting, Policy Admin). - Experience integrating Generative AI / LLMs into enterprise workflows. - Knowledge of insurance core platforms (Guidewire, Duck Creek, etc.). - Proficiency in C# / .NET. - Strong understanding of secure data handling in regulated environments. - UiPath Advanced Developer Certification (preferred). Requirements - Ability to combine RPA + AI for semi-autonomous and fully autonomous insurance workflows. Nice to have - Experience with insurance data standards (ACORD). - Knowledge of predictive analytics and actuarial data integration. - Exposure to Azure/AWS cloud environments. - Experience in process mining for insurance operations. - DevOps and CI/CD for RPA lifecycle management.