Junior Software Engineer, AI Agent Platform

đŸ”„ 0 minutes ago

🇹🇩 Canada – Remote

⏰ Full Time

🟱 Junior

đŸ€– AI Engineer

đŸ‘» Ghost score 10%

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Logo of Motorola Solutions

Motorola Solutions

10,000+ employees

Founded 1928

đŸ„ Healthcare

đŸ’Œ Consulting

📩 Logistics

Healthcare ‱ Consulting ‱ Logistics

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

‱ Build real-time voice AI features for emergency response workflows ‱ Design and operate LLM-powered systems supporting human 911 telecommunicators ‱ Own features across backend services, AI pipelines, frontend interfaces, and internal tools ‱ Work on low-latency audio processing, streaming systems, telephony integrations, and human-in-the-loop AI workflows ‱ Integrate speech models, LLMs, and emerging AI technologies into production systems ‱ Establish testing, code review, observability, and security practices ‱ Improve evaluation, testing, and observability for AI-assisted systems ‱ Participate in on-call responsibilities, including supported shadow rotations ‱ Participate in blameless post-incident reviews ‱ Ask questions, investigate systems, and contribute fresh perspectives ‱ Collaborate with experienced engineers across real-time AI pipelines, telephony, backend infrastructure, and product surfaces ‱ Influence architecture, build core product features, and shape AI-agent development practices

🎯 Requirements

‱ Bachelor's degree ‱ Experience with LLMs, AI agents, AI pipelines, RAG systems, evals, or prompt test harnesses ‱ Engineering fundamentals, learning velocity, curiosity, and problem-solving ability ‱ Coursework, internships, research, or personal projects count as relevant experience ‱ Relevant exposure may include speech-to-text, text-to-speech, voice activity detection, endpointing, interruption handling, noise filtering, diarization, or audio streaming ‱ Relevant exposure to telephony and voice infrastructure, including PSTN, SIP trunking, PBX, and call routing ‱ Relevant exposure to WebRTC, WebSockets, RTP/SRTP, media streaming, or low-latency audio transport ‱ Programming in Elixir, Go, Python, Rust, or similar languages ‱ Familiarity with PostgreSQL or relational data modeling ‱ Exposure to AWS, Azure, or GCP cloud infrastructure ‱ Experience with Docker, Kubernetes, or similar deployment environments ‱ Under 10% travel ‱ Must be legally eligible to work in the applicable Canadian location

đŸ–ïž Benefits

‱ Referral Payment Plan ‱ Inclusive and accessible recruiting experience ‱ Reasonable accommodation support for candidates with disabilities or health conditions ‱ Equal opportunity employment

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