Senior Full-Stack Engineer

Responsibilities

• Design and develop robust full-stack applications — Node.js services and APIs on the server, and responsive, thoughtfully built interfaces on the client using Vue.js, Next.js, or similar frameworks.
• Design and ship AI-native features end-to-end — LLM endpoints, retrieval-augmented generation (RAG) pipelines, tool/function calling, and agentic workflows — that meet the same bar for reliability, observability, and cost-efficiency as the rest of the platform.
• Architect and optimize serverless systems on AWS (Lambda, S3, RDS, etc.).
• Partner with design and product to turn ideas into crisp, accessible user experiences, and iterate quickly based on customer feedback.
• Mentor mid-level and junior engineers and raise the bar through code review, design critique, and a strong team culture.
• Collaborate with cross-functional stakeholders to translate business needs into technical solutions.
• Monitor, debug, and improve system reliability, performance, and security — including the behavior and cost of AI components in production.
• Participate in code reviews, design discussions, and continuous improvement initiatives, leveraging AI coding assistants to accelerate delivery without compromising rigor.

Requirements

• 6+ years of experience building full-stack applications in Node.js in production-level deployments.
• Proficiency in modern JavaScript frontend frameworks (Vue.js, Next.js, or similar) and strong command of HTML5, CSS3, and responsive design principles.
• Hands-on experience building production LLM-powered applications with at least one frontier model provider (e.g., Anthropic Claude, OpenAI), including prompt engineering, structured output, tool/function calling, retrieval-augmented generation (RAG), and agentic workflows.
• Daily, fluent use of AI coding assistants (Claude Code, Cursor, GitHub Copilot, or equivalent), with a demonstrated ability to leverage agents for real engineering work — not just autocomplete.
• Solid understanding of MVC design patterns, DRY principles, OOP, and application architecture.
• Strong background in solution design, with the ability to architect scalable and efficient software solutions.
• Deep understanding of serverless architecture and AWS services (Lambda, S3, RDS, CloudWatch, etc.).
• Experience with message processing systems such as SQS, RabbitMQ, or Kafka.
• Experience designing RESTful APIs and working with microservice architectures.
• Experience with database design, including both relational and non-relational databases (e.g., MySQL, PostgreSQL, MongoDB).
• Experience with Git source control, GitHub, and the Gitflow workflow.
• Strong communication skills and ability to work across time zones, particularly Eastern Time.
• Comprehensive understanding of the Software Development Life Cycle (SDLC).