Blockskye

Design and develop full-stack applications with AI-native features, mentor engineers, and collaborate cross-functionally to deliver reliable, scalable software. | 6+ years full-stack Node.js experience, proficiency with modern JavaScript frameworks, AI system development, serverless AWS architecture, and strong communication skills. | Job Description: • 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. • Working knowledge of AI system evaluation (offline evals, A/B testing of prompts and models), guardrails for hallucinations, prompt injection, and PII, and cost and latency management for AI systems. • 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. • Solid foundation in 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). Benefits: • Health insurance • 401(k) matching • Flexible working hours • Paid time off • Remote work options