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Known semiconductor employer and metro location increase competition, balanced by seniority and niche GenAI requirements.
Role's focus on agentic GenAI platforms, LLM automation, and distributed data systems limits cross-industry portability.
Explicit 12+ years, 3+ years management, and mandatory GenAI/full-stack requirements create strict filtering.
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Lead and manage a software engineering team delivering distributed, data-intensive systems and AI-driven agentic GenAI frameworks from prototype to production.
Set and enforce technical direction and engineering rigor across full stack technologies including Python, JavaScript/TypeScript (React), and .NET/.NET Core with REST API and scalable data architectures.
Own and execute strategic engineering initiatives end-to-end with measurable impacts, establish an Agentic Development Lifecycle, and partner with stakeholders for roadmap alignment.
12+ years of software engineering experience with at least 3 years in a leadership or management role.
Strong proficiency in Python, JavaScript/TypeScript (React), and production experience with .NET/.NET Core.
Deep experience with full stack web solutions, REST APIs, distributed systems, scalable data architectures, and cloud infrastructure on AWS and/or Azure.
Proven hands-on experience building agentic frameworks with GenAI, including agent architecture, orchestration, evaluation, and knowledge of automating software with LLMs including risk assessment.
Experienced engineering leader skilled in merging classical software engineering with cutting-edge GenAI agentic system development and automation.
Capable of driving strategic technological initiatives that improve engineering velocity and product capabilities in complex, data-intensive environments.
Comfortable working across multiple technical stacks and communicating complex concepts effectively to both technical teams and senior leadership.