At Motorola Solutions, we believe that everything starts with our people. Were a global close-knit community, united by the relentless pursuit to help keep people safer everywhere. Our critical communications, video security and command center technologies support public safety agencies and enterprises alike, enabling the coordination thats critical for safer communities, safer schools, safer hospitals and safer businesses. Connect with a career that matters, and help us build a safer future.

We're looking for a skilled Senior Full Stack Engineer to build and enhance the core applications that power our AI-driven solutions. You'll apply your robust full-stack development expertise to strengthen and expand the platform supporting our advanced language model initiatives and Generative AI capabilities. This role involves working closely with our machine learning experts to integrate and operationalize LLM-powered services, leveraging your primary Node.js skills with opportunities to use Python for AI model integration. If you're an engineer who enjoys building solid, scalable software and is excited by the applied AI space, we'd like to hear from you.

What Youll Build & Own:

You'll be central to developing the core platform and operationalizing our LLM and Generative AI capabilities:

• Production Web Applications: Develop and enhance React frontends and Node.js backends that serve as the foundation for, and increasingly integrate, advanced language model capabilities and Generative AI services.

• Robust APIs and Integrations: Engineer and maintain critical, well-tested APIs for core platform functionalities, data exchange, and LLM inference, supporting integration with internal ML teams and partners.

• Developer & Experimentation Tools: Create internal dashboards and tools that support core development and streamline our research-to-production pipeline for AI models, including tools for prompt engineering and testing.

• Scalable Data Systems: Architect backend systems for managing core application data, user interactions, and preparing for the integration of model outputs and vector databases for Retrieval Augmented Generation (RAG), with a strong focus on data privacy and responsible AI.

Your Responsibilities:

• Lead the development of intuitive and performant React frontends and Node.js backends for our platform, incorporating LLM-powered applications and Generative AI features.

• Architect, build, and maintain robust and scalable web APIs using Node.js (Hapi.js) for core services and AI service delivery.

• Design relational database schemas and implement efficient queries supporting evolving ML workflows.

• Integrate applications with various internal services, third-party APIs, and data sources, with an increasing focus on language model services.

• Develop internal tools that improve development velocity for the core platform and facilitate the efficient transition from AI experimentation to deployment.

• Champion software quality through comprehensive testing and contribute to CI/CD processes for both core platform and AI-driven systems.

• Collaborate with product managers on core platform features and with ML developers and AI researchers to define requirements for integrating AI capabilities.

• Take ownership of full-stack features from conception to deployment, monitoring, and iteration, including projects with a significant AI component.

• Contribute to technical architecture decisions for the platform, ensuring its capability to support current and future AI applications.

Required Experience & Skills:

• 7+ years of full-stack development with experience building production web applications.

• Strong Node.js experience (e.g., Hapi.js, Express).

• 5+ years of modern React development (JavaScript/TypeScript).

• Solid relational database experience (MySQL preferred), including schema design and query optimization.

• Experience building and consuming RESTful APIs.

• Commitment to code quality and testing.

• Excellent problem-solving and collaboration skills.

Bonus Points:

• LLM-Assisted Development: Use of AI coding assistants (e.g., GitHub Copilot, Cursor).

• Python Proficiency: Familiarity with Python and its libraries (e.g., LangChain, Hugging Face Transformers) for machine learning or NLP.

• ORM Expertise: Experience with Sequelize or similar ORMs.

• ML Application Experience: Background working with ML teams or consuming machine learning model APIs.

• Understanding of LLM Challenges: Insight into developing with Large Language Models (e.g., prompt engineering, context management, fine-tuning).

• Cloud Native Development: Experience with AWS services (e.g., Lambda, S3, SageMaker) for AI workloads.

• Data-Intensive Applications: Experience with large datasets, streaming, or vector embeddings.

• Internal Tooling: Building tools that improve team productivity for AI projects.

• Knowledge of RAG Architectures.

• Experience with AI/machine learning technologies is strongly preferred

Target Base Salary Range: $89,300 - $178,600

#LI-CA1

• 5 years combined JS experience
• Legal authorization to work in the U.S. indefinitely is required. Employer work permit sponsorship is not available for this position

Our U.S.Benefitsinclude:

• Incentive Bonus Plans
• Medical, Dental, Visionbenefits
• 401K
• 10 Paid Holidays
• GenerousPaidTime Off Packages
• Employee Stock Purchase Plan
• PaidParental & Family Leave
• and more!

EEO Statement

Motorola Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion or belief, sex, sexual orientation, gender identity, national origin, disability, veteran status or any other legally-protected characteristic.

We are proud of our people-first and community-focused culture, empowering every Motorolan to be their most authentic self and to do their best work to deliver on the promise of a safer world. If youd like to join our team but feel that you dont quite meet all of the preferred skills, wed still love to hear why you think youd be a great addition to our team.

Were committed to providing an inclusive and accessible recruiting experience for candidates with disabilities, or other physical or mental health conditions. To request an accommodation, please complete this Reasonable Accommodations Form so we can assist you.