Senior Frontend Software Engineer, AI UX

Purpose in Every Position

Pebl puts a world of talent at your fingertips. With our AI-powered Global Work Platform, companies can hire, pay, and manage employees in 185+ countries - removing risk, red tape, and guesswork from global growth. Backed by more than a decade of compliance leadership and local expertise, Pebl helps businesses move fast, stay compliant, and scale with confidence. With Pebl, companies everywhere can hire great talent anywhere.

At Pebl, every team member drives our success. Joining us means more than filling a role—you’re accountable for results and impact. Our values guide how we operate, execute, and collaborate across borders. By putting them into action, you’ll help us scale faster, compete harder, and lead the future of global work.

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.

This role will require in-office collaboration Monday-Wednesday in our Palo Alto, CA office.

• 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 already been figured out.
• Build and maintain both frontend and backend components (Type Script/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).

• 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…