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Provides hands-on technical leadership for scalable full-stack web applications and core platform services. Designs architecture, develops and deploys secure software, resolves distributed-system issues, mentors engineers, and collaborates across product and QA teams. Integrates LLMs, AI-assisted workflows, and agentic capabilities into .NET and Python systems while applying responsible AI practices. Contributes to technical documentation, quality standards, regulatory compliance, and the full software development lifecycle.

Lead the architecture and evolution of AI-enabled, cloud-native software platforms. Evaluate emerging AI, machine learning, cloud, and architecture technologies; define scalable reference architectures; guide data, model integration, monitoring, security, governance, and responsible AI practices; communicate technical strategies; review implementations; and mentor engineering and architecture teams on modern development and AI-assisted engineering.

The Senior Software Engineer will design and develop core modules for an AI-enabled platform, collaborating across teams and mentoring others in a fast-paced environment.

Lead design and implementation of scalable, secure full-stack web applications and core platform modules. Influence architecture, deliver clean well-tested code, mentor engineers, integrate LLM/AI services responsibly, diagnose production issues, and collaborate across product, QA, and platform teams to meet regulatory and quality standards.

Hands-on technical leader who designs, builds, and deploys production-grade AI automation and agentic workflows. Responsibilities include rapid prototyping, RAG and document-intelligence systems, API integrations, orchestration, monitoring, reusable AI assets, and mentoring a small engineering team to deliver frequent releases and measurable business impact.

As a Senior UI Software Engineer, you'll lead front-end development, design user experiences, mentor junior engineers, and integrate AI capabilities into products.

Own Salesforce and commercial systems as the enterprise system of record for pipeline, forecasting, and reporting. Define commercial metrics, data standards, and governance; improve data quality and adoption; build repeatable board and executive reporting; reconcile sales reporting with Finance; establish forecasting cadence and accountability; manage commercial systems roadmap and external implementation partners.

The Principal SDET will lead automation framework development, mentor teams, drive migration to modern testing solutions, and collaborate across engineering teams to enhance quality and efficiency.