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Full Stack AI Engineer / Applied AI Engineer

Discussion

Design and develop full-stack applications that power GenAI platforms, including frontend applications, APIs, infrastructure, agent workflows, vector databases, data pipelines, and AI model integrations.

Responsibilities

  • Design and develop full-stack applications that power GenAI applications and platforms
  • Develop and maintain frontend applications using Next.js with API routes
  • Design responsive user interfaces using Tailwind CSS, Shadcn, or other CSS libraries
  • Write clean, efficient, and scalable code in Python and TypeScript
  • Build APIs and infrastructure for LLM-based features, tools, and agent workflows
  • Collaborate with frontend, ML, and product teams
  • Optimize backend systems for performance, scalability, and reliability
  • Work with vector databases, data pipelines, and AI model endpoints
  • Maintain clean, secure, and production-grade code

Requirements

  • 1–3 years of experience in full-stack development
  • Proficiency in Python and TypeScript
  • Experience with REST APIs, microservices, and scalable cloud infrastructure
  • Experience building or supporting GenAI applications or LLM-powered products
  • Comfort building agentic systems
  • Exposure to AWS, GCP, or Azure and Docker or Kubernetes
  • Strong problem-solving, communication, and collaboration skills

Benefits

  • Medical, dental, and vision coverage
  • PTO
  • Personalized career roadmap
  • Training and educational opportunities

Skills

See also

Full-Stack jobs by country — openings, pay and top skills →

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