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About the Role

This is a production product-engineering role focused on shipping and operating LLM-backed software. As our Senior AI Product Engineer, you will transform our early dissolution support agent into a trustworthy product that resolves well-bounded customer needs and establishes the right operating model for more complex workflows. You will manage customer experience, application code, retrieval, tool contracts, model behavior, evaluation, permissions, observability, rollout, and production learning, aiming for correct resolution and customer trust.

Responsibilities

Own AI-assisted dissolution support from the customer problem through production behavior, measurement, and iteration
Design retrieval, context, structured outputs, tool contracts, orchestration, and deterministic boundaries for grounded, inspectable behavior
Build clear answer, status, no-action, and human-handoff experiences that remain useful when evidence or authority is incomplete
Create representative, versioned evaluations for routing, grounding, usefulness, safety, stability, and real customer outcomes
Ship with explicit permissions, tenant boundaries, privacy controls, auditability, canaries, rollback, and recovery
Instrument runtime and tool reliability, latency, cost, repeat contact, support effort, and serious failure modes
Turn production failures into durable product, evaluation, and system improvements
Determine whether complex workflows should be automated, AI-assisted, structured for a human, or deliberately remain human-owned, then build the approved product approach
Simplify, replace, or remove agentic components when deterministic software or a clearer product experience would work better
Work closely with Product, Support, Security, domain experts, and full-stack engineers who own the surrounding Dissolution product

Requirements

Personally owned a production software product, including an LLM-backed capability beyond a prototype
Strong product engineer who can build across customer experience, application code, backend systems, AI behavior, and production operations
Understand retrieval, context selection, structured outputs, tool use, orchestration, evaluation, and observability—and know when simpler, deterministic software is the better tool
Can turn ambiguous user needs into explicit evidence, state, authority, and failure boundaries
Designed for unsupported claims, uncertainty, permissions, privacy, human escalation, rollback, and recovery
Use representative evidence to make ship, revise, or stop decisions rather than optimizing demos or one aggregate score
Enjoy learning a consequential domain and working directly with Product, Support, Security, and engineering partners
Use modern AI development tools fluently and verify their output with the same rigor applied to product behavior

Skills

LLM-backed software
Customer experience
Application code
Retrieval
Tool contracts
Model behavior
Evaluation
Permissions
Observability
Rollout
Production learning
Python
TypeScript
React
Node.js

Experience Level

Senior

About the Company

Sunset was founded to help founders, initially supporting startups through shutting down, and has expanded to unlocking a new revenue stream for all businesses.
The company recognized that data generated daily through collaboration, communication, and building is valuable training data for AI models.
Sunset partners directly with frontier AI labs, providing a primary source of proprietary data.
The company has scaled from $0 to a multi-eight-figure run rate in months.
Sunset has raised capital from investors including Floodgate, Afore, Ludlow, and Hustle Fund.