
Lead Frontend Engineer
Ford Motor24 hours ago
Chennai, IndiaStaff+
Responsibilities
- Own frontend architecture, technology standards, component architecture, state management, rendering strategy, performance budgets, and accessibility for AI Platform UI surfaces.
- Build production conversational and agent interfaces with streaming responses, tool-call visualization, citations, grounding displays, multi-agent traces, and graceful failure states.
- Develop reusable, versioned, themeable AI UI components and design-system assets documented with Storybook.
- Create golden-path frontend templates, starter kits, developer portals, service catalog entries, and self-service consoles for provisioning AI resources and environments.
- Build full-stack features spanning React/Next.js interfaces, Backend-for-Frontend services, agent orchestration, RAG pipelines, vector search, and LLM backends.
- Implement SSE and WebSocket streaming, authentication and authorization, OAuth2 flows, Apigee X/API Gateway integration, and role-based UI rendering.
- Integrate Google ADK, Vertex AI, Gemini, LangChain, RAG systems, vector search, and retrieval metadata for grounded and cited responses.
- Establish frontend testing, observability, telemetry, token-usage tracking, latency monitoring, feedback loops, and AI response evaluation dashboards.
- Deploy containerized frontend and BFF services on GKE with CI/CD, progressive delivery, and environment promotion.
- Partner with platform, infrastructure, product, architecture, and IT operations teams to improve developer experience, platform adoption, cloud cost management, and self-service capabilities.
- Define multi-tenant, configuration-driven UI and BFF architectures with embedded security, accessibility, responsible-AI, and governance guardrails.
- Own platform roadmap reviews, versioning, deprecations, documentation, SLAs, adoption metrics, and developer satisfaction feedback loops.
Requirements
- Bachelor of Engineering degree in Computer Science Engineering.
- 8+ years of experience in frontend, self-service, and platform engineering.
- Advanced experience with React, Next.js, TypeScript, and Node.js for frontend and full-stack development.
- Experience building AI-native conversational interfaces, streaming UIs, agent workflows, RAG experiences, and citation or grounding displays.
- Experience designing component libraries, design systems, developer portals, service catalogs, golden paths, and self-service platform experiences.
- Experience integrating frontend and BFF services with Vertex AI, Gemini, Google ADK, LangChain, RAG pipelines, vector search, and AI orchestration services.
- Experience with SSE, WebSockets, OAuth2, API gateways, authentication, authorization, and secure API integrations.
- Experience with accessibility standards, Core Web Vitals, performance budgets, frontend observability, and AI response latency monitoring.
- Experience with Jest, React Testing Library, Playwright, deterministic mocking, and testing non-deterministic LLM behavior.
- Experience with FastAPI or Node.js BFF services, Kubernetes/GKE deployment, CI/CD, and progressive delivery.
- Experience with BigQuery, Vertex Vector Search, Apigee X, Cloud Build, GitHub Actions, and Dynatrace SaaS.
- Experience with platform engineering, developer experience metrics, cloud FinOps, and cost-aware model routing.
- Ability to collaborate with senior leaders, product teams, platform and infrastructure engineers, enterprise architecture, and IT operations.
Tech Stack
Categories
About Ford Motor
Ford Motor Company designs, manufactures, and sells cars, trucks, SUVs, and commercial vehicles for consumers and businesses, and provides financing through Ford Credit. A public company headquartered in Dearborn, Michigan and listed on the NYSE, it operates globally under the Ford and Lincoln brands, including electric and connected vehicles such as the F‑150 Lightning and Mustang Mach‑E. Founded in 1903, it also offers software-driven fleet, mobility, and aftersales services.