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Senior Full Stack Engineer - AI

Ampcus Inc

RemoteFull timeMid level$135k – $170kPosted today
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About the role

Location: Hybrid

Duration: Fulltime/Direct Hire

Below is the tech stack used by our AI Full-Stack Developers on the production platform:

  • VS Code - Primary IDE

  • Git - Version control

  • GitLab - Code repository and collaboration platform

  • Programming Languages & Runtimes - Node.js, Python v3.10+

  • Frontend Framework - Svelte

  • Scripting - Python v3.10+

  • Database - MongoDB (migrating to DocumentDB)

  • Containerization & Infrastructure - Docker

  • Cloud & Infrastructure - AWS GovCloud (EC2 instances [Ubuntu]), AWS Bedrock Agent Runtime; AWS CLI

  • Primary AI Models: Anthropic

  • Coding Tools: Claude Code (main tool), Cline, Continue.dev

Position Summary: We are seeking a highly experienced Senior Software Engineer with 9-15 years of experience to join our core team. The ideal candidate is a master of modern UI development with deep expertise in React.js, Next.js, or Svelte, complemented by strong back-end skills in Node.js. You will play a pivotal role in architecting, building, and scaling our customer-facing applications. A key differentiator for this role is the opportunity to leverage and integrate AI/ML capabilities to create smarter, more adaptive user experiences.

Required Qualifications & Experience:

  • 9+ years of professional software development experience.

  • Expert-level proficiency in one or more modern UI frameworks: React.js, Next.js, or Svelte.

  • Strong experience with server-side development using Node.js.

  • Demonstrable exposure to AI/ML concepts and a strong interest in their application. This could include:

    • Integrating with third-party AI APIs (e.g., OpenAI, Google AI).

    • Working on projects that involve natural language processing (NLP), computer vision, or recommendation systems.

    • Understanding how to structure data for AI model consumption.

  • Deep understanding of modern JavaScript (ES6+), TypeScript, HTML5, and CSS3.

  • Proven experience with state management, build tools (Webpack, Vite), and testing frameworks.

  • Solid understanding of database technologies (both SQL and NoSQL).

  • Experience with cloud platforms (AWS, GCP, or Azure) and CI/CD pipelines.

Preferred Qualifications:

  • Experience building and deploying applications using SvelteKit.

  • A portfolio or examples of projects where you have successfully integrated AI features.

  • Familiarity with AI-specific libraries (e.g., TensorFlow.js, LangChain).

  • Experience with performance monitoring and observability tools.

  • Knowledge of web security best practices.

  • Previous experience in a tech lead or architectural role.

Benefits:

  • Health insurance
  • Paid time off

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