Frontend Platform Engineer, AI Enablement (Angular)

Cialfo

Full Time

Delhi, IndiaPosted 2 days ago

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TypeScriptAngularRailsFigmaAPI

Job Description

About Manifest Global Manifest Global is building the infrastructure for global human capital mobility - connecting students, schools, universities, and employers across 50+ countries. Our portfolio spans Cialfo (AI-powered college counseling, 2,000+ schools), BridgeU (university guidance for international schools globally), Kaaiser (trusted study abroad counseling across India and Southeast Asia), and Explore (AI-powered university outreach, 1,000+ university partners). Together, we move talent across borders at scale. $80M raised. Still early. <h3>About This Role</h3> Most frontend roles ask you to ship features. This one asks you to ship features and build the system that lets QEs, PMs, and designers ship them too - safely, independently, with AI as the connective tissue. The Manifest engineering team already runs on AI-assisted workflows. The infrastructure exists in pieces. You'll complete it, maintain it, and raise the ceiling on what each function can do without engineering in the loop. AI is not the tool you use on the side. It is the medium you work in, and the capability you extend to everyone around you. If you're early in your career and the most interesting question you have right now is "how do I build leverage for a team, not just output for myself?" - keep reading. <h3>What will you own</h3> You own the frontend - not just the code you write, but the system that lets everyone around you contribute to it. That means building features, and it means building the workflows, conventions, and guardrails that let QEs test independently, PMs contribute safely, and designers move from design to something real without waiting in a queue. The measure of success here is not your personal output. It is how much the team around you can do because of what you built. Concretely, that looks like: <ul> <li style="font-size: 10pt; font-family: arial, helvetica, sans-serif;">The shared AI conventions that keep tooling output consistent across the codebase, whoever is driving</li> <li style="font-size: 10pt; font-family: arial, helvetica, sans-serif;">A skills library that encodes Angular patterns, API contracts, and business logic into workflows anyone on the team can invoke</li> <li style="font-size: 10pt; font-family: arial, helvetica, sans-serif;">Safe zones and guardrails that let non-engineers contribute without creating engineering cleanup</li> <li style="font-size: 10pt; font-family: arial, helvetica, sans-serif;">Design-to-code workflows that unblock designers without dev involvement</li> <li style="font-size: 10pt; font-family: arial, helvetica, sans-serif;">A feedback loop with QEs, PMs, and designers - you hear where things break and you fix them</li> </ul> <h3>What success looks like</h3> 30 days. You've mapped the frontend architecture and the current cross-functional AI workflows. You know where the codebase is strong, where debt sits, and where QEs, PMs, and designers are getting stuck or falling back on engineering. You have a point of view on what to fix first. 90 days. The skills library has grown. QEs are generating test scaffolds from specs without filing requests to engineering. PMs are making frontend contributions inside defined safe zones with confidence. Designers have a clearer path from Figma to something testable. AI tooling output across the team is more consistent because of conventions you put in place. 6 months. Cross-functional AI workflows are a genuine productivity multiplier - not a set of experiments. Feature cycles are shorter because more of the team can move through more of the process independently. The frontend itself is faster, more reliable, and better structured. Saige and Explore's AI surfaces feel like first-class product experiences, not features the frontend barely holds together. The engineers, QEs, PMs, and designers working in this system are glad you built it the way you did. <h3>About You</h3> <h3>Qualifications</h3> <ul> <li style="font-size: 10pt; font-family: arial, helvetica, sans-serif;">Bachelor's degree in Computer Science, Engineering, or a related field - or equivalent practical experience</li> </ul> Experience <ul> <li style="font-size: 10pt; font-family: arial, helvetica, sans-serif;">1–3 years of hands-on Angular experience - real projects you've built and shipped, even if not at large scale</li> <li style="font-size: 10pt; font-family: arial, helvetica, sans-serif;">Solid TypeScript fundamentals and genuine curiosity about how the browser works as a runtime</li> <li style="font-size: 10pt; font-family: arial, helvetica, sans-serif;">Active fluency with AI-assisted coding tools in your day-to-day work - you use them seriously, not occasionally</li> <li style="font-size: 10pt; font-family: arial, helvetica, sans-serif;">The instinct to think about how your work affects the people around you, not just the ticket in front of you</li> <li style="font-size: 10pt; font-family: arial, helvetica, sans-serif;">A communicator who can hold a useful conversation with a designer, a QE, or a PM - and follow through without being chased</li> </ul> Strong nice-to-haves <ul> <li style="font-size: 10pt; font-family: arial, helvetica, sans-serif;">Any exposure to AI-facing UIs - streaming output, recommendation surfaces, or agent interfaces - even in side projects</li> <li style="font-size: 10pt; font-family: arial, helvetica, sans-serif;">Experience or genuine interest in developer experience: documentation, shared patterns, making codebases easier for others to work in</li> <li style="font-size: 10pt; font-family: arial, helvetica, sans-serif;">Early signs of cross-functional thinking - instances where you made something easier for a non-engineer, even informally</li> </ul> Why Manifest We're building the infrastructure for global human capital mobility - the rails that move students, schools, universities, and employers across 50+ countries. Cialfo is in 2,000+ schools. Explore is trusted by 1,000+ universities. BridgeU runs across the UK, Europe, and the Middle East. Kaaiser has guided students across India and Southeast Asia since 1997. The opportunity is real. $700B flows annually in remittances from migrant workers. 85M workers will be missing from developed economies by 2030. We're building the operating system that changes that. $80M raised from Tiger Global, SIG, and Square Peg. Still early. The team has already built the infrastructure for AI-native engineering - shared conventions, a live skills library, AI-assisted workflows across engineering, QE, product, and design. Saige is in production. Explore's AI capabilities are in production. This isn't an aspiration we're hiring you to bring to life. It's an operating system we're hiring you to extend, scale, and make permanent.