Senior Frontend Software Engineer, AI UX

What Makes You a Great Fit

Our mission at Pebl is to simplify global employment, enabling companies to hire, manage, and retain talent anywhere in the world. We’re not just adding a chatbot to our product — we’re rethinking what it means for software to work with you, not just for you. Our AI & Knowledge team is on the front lines of that shift, building Alfie, our conversational AI assistant, and we’re looking for a Senior Full-Stack Software Engineer who wants to help define what AI-native user experience looks like — not follow a playbook that already exists, because it doesn’t yet.

We’re looking for someone who is strongest in frontend/product engineering and excited about building conversational AI interfaces that real users interact with directly. You’ll help shape the experience around streaming responses, wrong-answer recovery, fallback states, user trust, and human-in-the-loop moments.

This is not primarily a backend AI infrastructure, RAG platform, internal automation, or AI-assisted developer tooling role; the core need is someone who can help drive the user-facing AI experience.

How You’ll Make an Impact

Design and build full-stack features for our conversational AI assistant, with particular depth and ownership on the frontend/UX side.

Apply hands-on experience with LLM-based and agentic systems — prompt design, tool/function calling, multi-step agent reasoning, evaluation — to shape both how the assistant behaves and how that behavior surfaces in the UI.

Bring product taste and a strong point of view on what makes an AI-driven experience great — push for a better UX rather than shipping “good enough.”

Push the boundaries of what conversational and generative AI interfaces can feel like — prototype and propose new interaction patterns as the underlying models and agent capabilities evolve.

Help shape the future of how people interact with software at Pebl — you’ll be working at the edge of what’s possible in conversational and agentic UX, not maintaining what’s already been figured out.

Build and maintain both frontend and backend components (TypeScript/React on the frontend; comfortable enough on the backend to design clean contracts and APIs that support agentic workflows).

Lead by example in clean, maintainable code across the stack; mentor junior team members and foster a culture of constant learning and improvement.

Contribute to technical discussions, design reviews, and code reviews to maintain high engineering standards.

Troubleshoot issues end-to-end (frontend and backend) in production, including AI-specific failure modes (e.g., bad model output, latency, dropped tool calls).

Let’s Connect If You Have

8+ years of professional software engineering experience, full-stack, with demonstrated strength and a clear preference for frontend/UX work.

1+ years of hands-on experience building LLM-powered or agentic products — not just calling an API, but designing how an agent reasons, uses tools, and hands control back to the user.

Experience building interfaces for AI-powered or agentic products — conversational UIs, copilots, assistants — including exposure to generative/dynamic UI techniques where the interface adapts to model behavior.

Solid understanding of LLM design patterns, prompt engineering, and observability/instrumentation for agentic systems.

Strong command of modern frontend (React/TypeScript) paired with a solid understanding of how frontends integrate with backend services, APIs, and real-time/streaming data.

A track record of helping build products beyond standard CRUD apps and dashboards — something with real craft, polish, or a distinctive user experience.

Comfort working across the full stack when needed (backend, infra) — this isn’t a pure frontend role.

A lean mindset — focus on delivering customer value by minimizing waste, optimizing workflows, fostering continuous improvement, and prioritizing quick iteration with quick feedback cycles.

Excitement for working in a space that’s evolving rapidly, where the best patterns for AI-driven UX are still being discovered — and a desire to help discover them.