AI Product Engineer

Sunset • New York, NY

7d

About The Position

This is a production product-engineering role for someone who has shipped and operated LLM-backed software—not a prompt-engineering, research, or company-wide AI strategy position. As our Senior AI Product Engineer, you will turn 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 move between customer experience, application code, retrieval, tool contracts, model behavior, evaluation, permissions, observability, rollout, and production learning. The goal is correct resolution and customer trust—not maximum deflection or autonomy.

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 you apply to product behavior

Nice To Haves

• Experience building customer-support, operations, or multi-step workflow agents
• Experience with LangGraph, LangChain, or comparable orchestration approaches
• Experience with typed tool protocols, retrieval systems, golden datasets, offline evaluation, shadow deployments, or model-based judges
• Experience with privacy-sensitive, multi-tenant, audited, legal, financial, or other high-trust products
• Strong Python plus TypeScript, React, Node.js, or comparable full-stack experience

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

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed