Senior Software Engineer, AI Agent Platform

🔥 18 hours ago

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Logo of Motorola Solutions

Motorola Solutions

10,000+ employees

Founded 1928

🔐 Security

📡 Telecommunications

🏢 Enterprise

Security • Telecommunications • Enterprise

Motorola Solutions is a company that provides a comprehensive safety and security ecosystem, offering technology solutions to protect people, property, and places. The company specializes in critical communications, video security systems, command center solutions, and managed & support services. Their products include mission-critical P25 radios, professional DMR radios, broadband devices, and video security systems powered by AI analytics. Motorola Solutions serves various industries, including public safety, education, healthcare, law enforcement, and more, with a focus on enhancing operational efficiency and response in critical situations. They are committed to delivering solutions that help their customers stay connected, communicate clearly, and act with certainty in the harshest conditions.

📋 Description

• Lead the design and operation of real-time voice AI systems that support human 911 telecommunicators at scale. • Identify and solve the hardest problems in our stack: low-latency audio, streaming, telephony, LLM orchestration, and human-in-the-loop AI workflows. • Drive engineering excellence across reliability, availability, security, and performance, defining the standards for the team. • Collaborate with product, design, and operations leadership to translate ambiguous customer and operational problems into technical strategy. • Mentor engineers to improve their technical work through reviews, design feedback, and pairing. • Build and evolve evaluation, testing, and observability frameworks for AI-assisted systems. • Lead incident response and post-incident reviews, ensuring quality runbooks and on-call health.

🎯 Requirements

• 10+ years of experience in Realtime communication systems with deep expertise in Speech-to-Text, Text-to-Speech, Voice Activity Detection and architecting LLM, agentic, or RAG systems in production, including evals and prompt test harnesses at scale. • Production software engineering experience, with a clear track record of technical leadership. • Comfort working across backend, infrastructure, AI pipelines, and product surfaces. • Ability to turn ambiguous product or operational problems into clear technical plans for the team. • Daily use of AI tools while maintaining high standards for responsible use. • Strong product judgment with a focus on user experience. • Experience mentoring engineers effectively.

🏖️ Benefits

• Health insurance • 401(k) matching • Flexible work hours • Paid time off • Remote work options

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