Principal Engineer - Frontend

AI in this role

llm-integration

Inception42, a G42 company, is the region’s leading innovator of AI-powered domain-specific as well as industry-agnostic products, built on a rich heritage of research and development. Within the G42 ecosystem, Inception functions as the core intelligence layer – transforming data and compute infrastructure into real-world, applied AI solutions. Beyond its commercial endeavors, Inception is committed to creating positive societal impact. For more information, please visit www.inception42.ai

Overview:

As Principal Frontend Engineer at Inception42, you will set technical direction for the frontend systems behind production AI products and platforms. You will remain hands-on while defining architecture, strengthening design systems, improving performance and reliability, and raising engineering standards across teams. The role works closely with Product, Design, Backend, AI/ML, Security, and Platform Engineering to turn complex capabilities into clear, scalable user experiences.

Responsibilities:

Define and evolve frontend architecture across web applications, shared platforms, design systems, and backend-for-frontend integrations.
Design and ship production-grade frontend systems using TypeScript, React, Next.js, and modern browser technologies.
Establish patterns for modularity, state management, data fetching, routing, error handling, and component composition.
Build and scale reusable component libraries and design systems that improve product consistency, accessibility, and delivery speed.
Drive performance engineering across rendering, Core Web Vitals, profiling, code splitting, caching, and bundle optimization.
Guide integration with REST APIs, GraphQL, WebSockets, server-sent events, and event-driven backend services.
Define frontend testing strategy across unit, integration, component, end-to-end, and visual regression coverage.
Improve frontend observability, reliability, and operational readiness through meaningful telemetry, error monitoring, and service-level thinking.
Embed secure development practices across authentication, authorization, dependency management, browser security, and API consumption.
Strengthen CI/CD and release workflows for frontend applications, including automated quality gates and repeatable deployment patterns.
Lead architecture reviews, code reviews, and technical design discussions; mentor senior engineers and grow frontend technical leadership.
Collaborate closely with Product and Design to make pragmatic technical decisions that improve customer outcomes without compromising long-term maintainability.
Evaluate new frontend frameworks, AI-assisted engineering tools, and AI-powered interaction patterns when they offer credible product or engineering value.

Qualifications:

Strong frontend engineering fundamentals across JavaScript, TypeScript, HTML, CSS, browser behavior, accessibility, and responsive application design.
Experience shipping and operating complex production applications with React and Next.js; exposure to Angular or comparable frameworks is valuable.
Demonstrated ability to make architecture decisions across large frontend codebases, shared libraries, and multi-team delivery environments.
Practical experience building design systems and reusable component libraries with clear APIs, documentation, and governance.
Strong understanding of SSR, SSG, client rendering, hydration, caching, performance profiling, and Core Web Vitals.
Experience with state-management patterns and integration across REST, GraphQL, WebSockets, or event-driven services.
A disciplined approach to automated testing using tools such as Jest, React Testing Library, Playwright, or Cypress.
Sound judgment across security, reliability, maintainability, developer experience, and delivery speed.
Strong debugging and communication skills, with the ability to lead through ambiguity and align engineers across functions.
An ownership mindset and a track record of raising technical standards through design, implementation, review, and mentorship.

Nice to Have

Experience with Vue.js, micro frontends, Module Federation, progressive web applications, or multi-tenant frontend platforms.
Exposure to backend-for-frontend services, Node.js, cloud-native infrastructure, containers, or Kubernetes-based delivery environments.
Experience building high-traffic, regulated, or high-availability enterprise applications.
Exposure to AI-powered user experiences, LLM integrations, streaming interfaces, or human-in-the-loop workflows.
Open-source contributions, published technical work, or experience leading frontend engineering communities.

Inception42 is building AI systems designed for practical deployment at scale — across industries, infrastructure, and national-level initiatives.

If you want to work close to both advanced AI capability and real-world execution, we’d like to hear from you.

What We Look ForIf you are a performance-driven, inquisitive mind with the agility to adapt to ambiguity, you will fit right in. You should be eager to explore opportunities to build meaningful collaborations with stakeholders and aspire to create unique customer-centric solutions. Bias for action and a passion to conquer new frontiers in the AI space is at the heart of the Inception42 community. What Working At Inception42 Offers Culture: An open, diverse and inclusive environment with a global vision that encourages personal growth and focuses on ground-breaking, industry-first innovations.Career: Outstanding learning, development & growth opportunities via structured training programs and innovative, high-tech projects.Rewards: A competitive remuneration package with a host of perks including healthcare, education support, leave benefits and more. If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible.

How we rate this

Principal Engineer - Frontend at G42 rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

LLM Integration

Questions you could be asked

How have you integrated a large language model into a production application?
Describe a typical day in a role like this one: which parts run through AI directly?
If you removed AI from this role, what would be left, and how do you decide what still needs a human?

Adapt your resume

List these exact terms on your resume: LLM Integration. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
Show where AI is part of your daily process, not a one-off project — this role expects it to be a running habit.

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