Senior Software Engineer, Node.js + React - LLM Platform

About the Role

Key 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.

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.

Nice to Have

• Use of AI coding assistants (e.g., GitHub Copilot, Cursor).
• Familiarity with Python and its libraries (e.g., LangChain, Hugging Face Transformers) for machine learning or NLP.
• Experience with Sequelize or similar ORMs.
• Background working with ML teams or consuming machine learning model APIs.
• Insight into developing with Large Language Models (e.g., prompt engineering, context management, fine-tuning).
• Experience with AWS services (e.g., Lambda, S3, SageMaker) for AI workloads.
• Experience with large datasets, streaming, or vector embeddings.
• Building internal tools to improve team productivity for AI projects.
• Knowledge of Retrieval Augmented Generation (RAG) architectures.
• Experience with AI/machine learning technologies.

Qualifications

• 5 years combined JavaScript experience
• Legal authorization to work in the U.S. indefinitely (employer sponsorship not available)

Benefits & Perks

• Incentive Bonus Plans
• Medical, Dental, Vision benefits
• 401K
• 10 Paid Holidays
• Generous Paid Time Off Packages
• Employee Stock Purchase Plan
• Paid Parental & Family Leave
• and more!