Senior Full-Stack Engineer (Node.js, AI)

Blockskye

$120K — $150K *
US-AnywhereRemote in United States
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 6+ years of full-stack development experience with Node.js in production settings.
  • Proficient in modern frontend frameworks like Vue.js, Next.js, and fundamental web technologies including HTML5 and CSS3.
  • Hands-on experience building production-level LLM applications with contemporary AI models.
  • Daily use of AI coding tools for real engineering tasks, not just for auto-completion.
  • Working knowledge of AI evaluation methods and management strategies for AI systems.
  • Deep understanding of serverless architecture with AWS services and experience with message processing systems.

Responsibilities

  • Design and develop full-stack applications using Node.js and modern front-end frameworks.
  • Create AI-native features from inception through deployment, focusing on reliability and efficiency.
  • Architect and optimize serverless solutions in AWS to enhance scalability.
  • Collaborate with design and product teams to transform concepts into user-friendly experiences.
  • Mentor junior and mid-level engineers, fostering a culture of learning and improvement.
  • Translate business needs into impactful technical outcomes through collaboration with stakeholders.
  • Monitor and enhance system reliability, performance, and security of AI components.

Benefits

  • Opportunity to influence the future of travel and technology at Blockskye.
  • Collaborative work environment with a high-caliber team of cross-functional professionals.
  • Focus on innovative AI-native application development and deployment.
  • Mentoring opportunities that support professional growth within the engineering team.
Full Job Description
Senior Full-Stack Engineer - Empower the Future of Travel with Blockskye

Blockskye is seeking a Senior Full-Stack Engineer who is deeply skilled in Node.js, fluent in modern AI engineering, and equally comfortable building polished user interfaces and scalable backend services. This role focuses on designing and building performant full-stack applications - including AI-native experiences such as LLM-powered features, retrieval-augmented generation (RAG), and agentic workflows - and deploying serverless solutions in AWS. You will work closely with a high-caliber team across engineering, design, and product to power Blockskye's travel, payments, and expense platform end-to-end, from the API surface to the pixel.

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.
  • 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).

Preferred Qualifications:
  • Experience fine-tuning, distilling, or post-training models, or building custom eval suites at scale.
  • Contributions to open-source AI tooling or to the Model Context Protocol (MCP) / agent ecosystem.
  • Experience with PHP and LAMP development.
  • Experience in the travel industry.

Please note, this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required. Duties, responsibilities and activities may change or new ones may be assigned at any time with or without notice.

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