Senior Software Engineer – Node.js + React – LLM Platform
| Company | Motorola |
|---|---|
| Location | Winchester, VA, USA, Cambridge, MA, USA, Allen, TX, USA, San Mateo, CA, USA, Dallas, TX, USA, Raleigh, NC, USA, Richmond, VA, USA, Chicago, IL, USA, Bay Shore, NY, USA, Culver City, CA, USA, Fort Collins, CO, USA, San Diego, CA, USA, West Valley City, UT, USA, Plantation, FL, USA |
| Salary | $89300 – $178600 |
| Type | Full-Time |
| Degrees | |
| Experience Level | Senior |
Requirements
- 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.
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.
Preferred Qualifications
- 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.