# AI Engineer (Product-focused) at Zeno
Zeno is a legal AI startup building a platform that helps lawyers research, review, and draft documents with real legal reasoning. We develop technology that can search and retrieve statutes, case law, and commentary with high precision, reason step-by-step and apply legal tests, and explain every answer transparently.
## The Role
As an AI Engineer (Product-focused), you own AI-driven product capabilities end-to-end. You work at the application layer of AI: designing and building the systems that sit between models and users. You work closely with Data, Legal, and GTM to turn probabilistic model output into software professionals can trust in real, high-stakes workflows.
## What you will be doing
- Own AI product surfaces end-to-end, take responsibility for concrete AI capabilities (e.g. drafting, revision, reasoning workflows) and drive them from concept to shipped product to iteration
- Engineer the AI application layer by building and evolving prompt logic, structured outputs, retrieval pipelines, tool interfaces, state management, and guardrails as real product code
- Turn probabilistic systems into dependable behavior by designing system boundaries, constraints, fallbacks, and patterns that make AI behavior predictable, explainable, and safe
- Build high-accuracy context and retrieval systems by designing and implementing context construction, document selection, chunking strategies, and relevance controls
- Ship fast without accumulating AI debt by moving quickly with discipline: clean abstractions, versioned behavior, reusable patterns, and minimal ad-hoc solutions
## What we're looking for
- 4+ years of experience in product-focused full-stack engineering, ideally in a fast-growing SaaS or complex domain
- Strong backend engineering skills with comfort designing APIs, data models, and orchestration layers
- Experience building AI-native systems in production with LLMs beyond demos: structured outputs, retrieval, tool use, evaluations, monitoring, and iteration based on real feedback
- Familiarity with modern AI tooling and experience with structured schemas and type-safe interfaces between models and application code
- Solid frontend literacy with experience in modern UI patterns
- High product sense and judgment thinking in terms of user trust, edge cases, and long-term system behavior
- Bias toward ownership and taking responsibility for outcomes