• Build Portable AI “Agent Skills” across popular AI platforms. • Assist in implementing and testing agentic workflows and advanced RAG (Retrieval-Augmented Generation) patterns, including Graph RAG and Agentic RAG. • Contribute to the core platform architecture and API development utilizing .NET 10 and microservices. • Support the integration of distributed tracing and monitoring across the platform using OpenTelemetry. • Work alongside a hybrid onshore/offshore engineering team to execute technical designs and meet critical release milestones.

• Eres el dueño del dato desde su origen físico en planta industrial. • Capturar datos desde servidores OPC (Windows) y dispositivos Edge (Linux) para alimentar los pipelines de streaming hacia la nube. • Responsable de que la telemetría llegue íntegra, en tiempo real y de forma confiable para analítica crítica de negocio. • Es un rol de ownership técnico total sobre la infraestructura Edge y los pipelines de datos: diseñas, decides, construyes, operas y te haces responsable de que el dato fluya sin interrupciones desde el piso de planta hasta AWS.

• Architect and deploy secure, distributed platforms supporting modular, multi-service software environments. • Design and integrate APIs, microservices, and data pipelines that enable interoperability across mission, simulation, and analytical systems. • Define and enforce architectural principles, modularity standards, and software best practices across development teams. • Engineer solutions that bridge cloud, on-prem, and classified enclaves, ensuring interoperability and compliance. • Engineer cloud-native solutions in AWS GovCloud or hybrid IL4–IL6 environments with strict security and accreditation requirements. • Implement Infrastructure-as-Code (Terraform, CloudFormation, or CDK) to automate provisioning, configuration, and accreditation workflows. • Build and maintain CI/CD pipelines that embed security, compliance, and automated testing from development through deployment. • Ensure all platform designs support zero-trust principles, multi-enclave deployment, and repeatable accreditation (ATO) processes. • Design or oversee large-scale data ingestion, transformation, and orchestration environments (Kafka, Airflow, Spark, or Databricks). • Shape data architectures that balance throughput, latency, and cost across distributed mission environments. • Enable secure and efficient data access and synchronization across analytical, AI-enabled, and simulation workloads. • Transition software and platforms from prototype to production, ensuring maintainability, observability, and configuration consistency. • Establish automated testing, release governance, and performance monitoring standards for ongoing sustainment. • Lead by example as a hands-on technical authority, guiding design and implementation decisions. • Mentor software engineers and architects to raise technical standards, code quality, and architectural maturity.

• Design and ship production-grade features across the full stack — backend services, cloud infrastructure, and user-facing React interfaces • Build and evolve AI-powered agentic workflows that automate complex, high-stakes billing decisions at scale — not prototypes, production systems • Architect resilient integrations with dental insurance carriers and practice management systems (Dentrix, Eaglesoft) — poorly documented, inconsistent, and absolutely critical to get right • Work directly with dental billers and practice operators to understand problems at ground level, then translate that into software decisions • Hold a high bar for code quality, reliability, and operational health across the codebase — including code review and technical documentation that actually gets used • Take on ambiguous, undefined problems and drive them to resolution without waiting for permission or a perfect brief