Top Software Engineer Jobs in Las Vegas, NV

Lead and grow a full-stack engineering team building Mural’s AI-native Compose product. Own end-to-end delivery, architecture, code quality, reliability, experimentation, and roadmap execution in partnership with Product and Design. Hire, coach, and manage engineers while maintaining a hands-on technical role through code reviews and architecture decisions. Guide production LLM feature development, including evaluation, quality monitoring, and cost management, within a remote-first culture.

EHRI Engineer II role at Brown University Health, working remotely from Rhode Island during weekday daytime hours. The provided description does not include specific responsibilities, required qualifications, technologies, travel expectations, or security clearance requirements. The position offers an annual salary range of $90,729.60 to $149,697.60.

Build Nitra Business Banking backend infrastructure, including account opening, payments, ledgers, transaction processing, reconciliation, APIs, and financial integrations. Design reliable money movement across ACH, wires, RTP, and FedNow while ensuring auditability and financial correctness. Partner with sponsor banks and processors, make architecture decisions, document systems, identify risks, and mentor engineers. The role also integrates banking capabilities with cards, BillPay, expense management, accounting, and healthcare payment products.

Design, develop, and maintain scalable full-stack web applications using TypeScript, Java, Node.js, HTML, CSS, and MS SQL in a microservices environment. Build AI-powered applications with LLMs, RAG pipelines, GenAI agents, vector databases, and AI services. Optimize performance, implement responsive user interfaces, troubleshoot systems, participate in code reviews, and collaborate with AI/ML engineers and cross-functional teams in a remote setting.

Build and scale full-stack applications supporting specialty prescription prior authorization. Develop TypeScript, React, and/or .NET solutions, implement Azure cloud services and event-driven integrations, translate business requirements into technical designs, participate in code reviews and agile planning, and support production systems through monitoring and troubleshooting. Collaborate with engineers and architects while using AI tools in daily development.

Design, develop, maintain, and support a large Salesforce environment across Sales Cloud and Service Cloud. Build Apex, Aura, and LWC solutions; implement Data Cloud and AgentForce capabilities; maintain integrations and data flows; troubleshoot production issues; create reports and dashboards; recommend automation; participate in architecture, testing, deployment, documentation, and code reviews; and enforce scalable Salesforce development practices.

Designs, builds, and productionizes healthcare knowledge graph solutions using LPG and RDF technologies. Develops FHIR data transformation and ingestion pipelines, ontology mappings, entity linking, provenance tracking, graph queries, and automated validation. Translates semantic specifications into scalable implementations while collaborating with ontology, terminology, clinical, FHIR, and data engineering teams. Participates in technical design, architecture reviews, code reviews, and engineering best practices.

Own backend services from design through production support, solve ambiguous technical problems, improve reliability, build automation, and contribute to architecture and technical decisions. The role involves developing secure software in a regulated healthcare environment, debugging production issues, writing tests, mentoring engineers, and using modern cloud, deployment, observability, and AI-assisted development tools.

Design, build, and deliver front-end features with strong UX focus. Own technical design, coding, testing, deployment, and monitoring in a continuous delivery, microservices environment. Collaborate with Product, implement automated QA practices, and contribute to production deployments while practicing robust testing methodologies.

Build and scale backend systems, APIs, infrastructure, and applications for multimodal sensing and AI intelligence platforms. Responsibilities include processing sensor, audio, video, and environmental data; supporting data pipelines and model inference; ensuring reliability, scalability, and data integrity; and contributing to engineering standards and long-term technical strategy.