Lead Front-End AI Engineer

Job Type: Remote

Job Description

A leading organization is seeking a Lead Front-End AI Engineer to build and scale AI-powered web applications while providing technical leadership across engineering initiatives. This position focuses on modern front-end development, cloud-native deployment, conversational AI experiences, and mentorship of engineering teams.

Responsibilities

  • Design, develop, and enhance React-based applications that support complex business workflows.
  • Create intuitive user interfaces for AI-assisted experiences.
  • Build conversational AI and chatbot-driven interactions.
  • Implement AI response streaming, source citation displays, and guided workflow features.
  • Integrate front-end applications with enterprise APIs and AI services.
  • Rapidly develop and validate proof-of-concept AI solutions using modern development tools.
  • Guide front-end architecture decisions and promote engineering best practices.
  • Improve software quality through automated testing, documentation, and development standards.
  • Mentor engineers and provide technical leadership across projects.
  • Collaborate with business stakeholders and technical teams to deliver scalable solutions.

Required Experience and Skills

Front-End Development

  • React
  • TypeScript
  • JavaScript
  • Node.js

Cloud and Infrastructure

  • Google Cloud Platform (GCP)
  • Google Kubernetes Engine (GKE)
  • BigQuery
  • Cloud SQL
  • Google Cloud Storage
  • Experience deploying applications in Kubernetes environments

Testing and Quality

  • Playwright
  • Automated testing frameworks
  • Software development lifecycle (SDLC) best practices
  • Ability to evaluate and adopt testing approaches that improve engineering efficiency

Artificial Intelligence

  • Experience building AI-enabled applications
  • LLM-powered user experiences
  • Conversational AI solutions
  • MCP awareness or experience

Leadership

  • Experience leading and mentoring engineers
  • Ability to influence technical and architectural decisions
  • Proactive approach to problem-solving and planning
  • Strong communication and stakeholder collaboration skills
  • Experience guiding engineering teams and driving project outcomes

Preferred Experience

  • Production AI platform experience
  • Streamlit for rapid prototyping
  • Prompt engineering
  • Retrieval-Augmented Generation (RAG) applications
  • Technical leadership experience supporting teams of five or more engineers

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