Senior Fullstack Software Engineer A.I.
Pebl · Palo Alto, CA · 2 wk ago
HybridEngineering$146k–$173k/yrFull-time
Purpose
At Pebl, we empower companies to hire, pay, and manage employees globally, simplifying global employment and removing risk, red tape, and guesswork from global growth.
About the role
The Senior Full-Stack Software Engineer will design and build full-stack features for our conversational AI assistant, focusing on the frontend/UX side. They will apply hands-on experience with LLM-based and agentic systems, shaping both the assistant's behavior and its presentation in the UI. This role requires in-office collaboration Monday-Wednesday in Palo Alto, CA.
Responsibilities
- 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.
- 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).
Requirements
- 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.
- 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.
Qualifications
- 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.
- 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.
- Experience working in a rapidly evolving field where the best patterns for AI-driven UX are still being discovered.
Skills
- Hands-on experience with LLM-based and agentic systems.
- Understanding of LLM design patterns, prompt engineering, and observability/instrumentation for agentic systems.
- 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.
- 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.
Benefits
- Flexible Time Off
- Parental Leave
- Health and Dental Insurance
- Retailer Savings + Employee Incentive Plan
Pay
$145.6K - $172.9K
Schedule
Monday-Wednesday in Palo Alto, CA