Lead Frontend Engineer
Ford Motor Company (company site, opens in a new tab)8+ yrsChennaiOn-siteDirect career pageEst. 28–45 LPA
Posted 1d ago
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Reach people at Ford Motor Company
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at Ford Motor Company you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Own the end-to-end frontend architecture and technology stack for AI Platform products including streaming UI, real-time responses, and multi-turn conversation state management.
- Build and maintain reusable AI UI component libraries, developer self-service portals, and frontend service catalog entries to enable rapid product team adoption and provisioning of AI resources.
- Drive technical decisions on frontend performance, streaming, security integration, observability, and API integration with AI backend services for latency-sensitive, AI-heavy interfaces.
Minimum Requirements
- Bachelor's degree in Computer Science or Engineering (BE Computer Science Engineering).
- 8+ years of experience in frontend, self-service, and platform engineering.
- Proficient with React 18+, Next.js, Typescript, Node.js, and frontend state management technologies.
- Experience with integration of OAuth2 authentication, real-time streaming protocols (SSE/WebSockets), and cloud deployment on Kubernetes (GKE).
Ideal Candidate Profile
- Experienced in building complex AI and machine learning platform UIs with multi-agent and retrieval augmented generation workflows.
- Strong ownership in developer experience improvements including reusable design systems, self-service provisioning portals, and platform roadmap management.
- Proven ability to architect multi-tenant, scalable frontend solutions that integrate securely with backend AI services and observability tooling.