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:
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VS Code - Primary IDE
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Git - Version control
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GitLab - Code repository and collaboration platform
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Programming Languages & Runtimes - Node.js, Python v3.10+
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Frontend Framework - Svelte
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Scripting - Python v3.10+
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Database - MongoDB (migrating to DocumentDB)
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Containerization & Infrastructure - Docker
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Cloud & Infrastructure - AWS GovCloud (EC2 instances [Ubuntu]), AWS Bedrock Agent Runtime; AWS CLI
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Primary AI Models: Anthropic
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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:
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9+ years of professional software development experience.
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Expert-level proficiency in one or more modern UI frameworks: React.js, Next.js, or Svelte.
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Strong experience with server-side development using Node.js.
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Demonstrable exposure to AI/ML concepts and a strong interest in their application. This could include:
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Integrating with third-party AI APIs (e.g., OpenAI, Google AI).
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Working on projects that involve natural language processing (NLP), computer vision, or recommendation systems.
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Understanding how to structure data for AI model consumption.
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Deep understanding of modern JavaScript (ES6+), TypeScript, HTML5, and CSS3.
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Proven experience with state management, build tools (Webpack, Vite), and testing frameworks.
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Solid understanding of database technologies (both SQL and NoSQL).
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Experience with cloud platforms (AWS, GCP, or Azure) and CI/CD pipelines.
Preferred Qualifications:
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Experience building and deploying applications using SvelteKit.
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A portfolio or examples of projects where you have successfully integrated AI features.
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Familiarity with AI-specific libraries (e.g., TensorFlow.js, LangChain).
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Experience with performance monitoring and observability tools.
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Knowledge of web security best practices.
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Previous experience in a tech lead or architectural role.
Benefits:
- Health insurance
- Paid time off
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