Senior Software Engineer, Node.js + React - LLM Platform at Motorola Solutions
Culver City, CA 90230, USA -
Full Time


Start Date

Immediate

Expiry Date

11 Sep, 25

Salary

89300.0

Posted On

12 Jun, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Query Optimization, Testing, Web Applications

Industry

Computer Software/Engineering

Description

COMPANY OVERVIEW

At Motorola Solutions, we believe that everything starts with our people. We’re 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 that’s critical for safer communities, safer schools, safer hospitals and safer businesses. Connect with a career that matters, and help us build a safer future.

DEPARTMENT OVERVIEW

Motorola’s Access Control Division’s (previously OpenPath, now Avigilon Alta) mission is to improve your workday with smart office technology at your front door. We are looking for candidates who can help us build, scale and innovate as we develop our industry leading platform for access control and office automation. Strong analytical and software skills are a must in order to join our team, and we are particularly seeking candidates with experience and skills in multiple technologies, in order to contribute broadly to our team-centric approach to product development.

JOB DESCRIPTION

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.

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.

BASIC REQUIREMENTS

  • 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

TRAVEL REQUIREMENTS

Under 10%

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.
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