AI Enablement Engineer

Guardify Inc.•Omaha, NE

18h

About The Position

Guardify is a mission-driven technology company building digital evidence solutions that protect vulnerable populations and support justice, healing, and accountability. It works closely with Child Advocacy Centers and public-sector partners to safeguard sensitive data. This role is scoped across the company rather than to a single product: the engineer identifies repetitive, slow, or error-prone workflows and builds AI agents and automation to improve how teams work. The role has high ownership and trust, with responsibility for shaping solutions from idea through production alongside the people who use them. The initial focus is on Sales enablement, Support and Onboarding, Capture operations, and Communications. The engineer owns the full lifecycle of solutions, including evaluations, guardrails, observability, reliability, cost, security, and sensitive-data boundaries. They also create documentation and reusable patterns so teams can maintain and extend their work, and keep current with emerging AI capabilities.

Requirements

Strong engineering background and ability to independently design and ship production solutions.
Production experience building LLM applications, including tool use, orchestration, memory, retrieval, and evaluation.
Experience shipping AI agents that real users depend on.
Strong bias toward shipping small, working solutions and iterating based on results.
Strong general engineering fundamentals.
Experience with or ability to work within TypeScript, React, Node, Postgres, and AWS; Python-heavy backgrounds are welcome.
Experience connecting tools and systems through APIs and building reliable integrations with logging, retries, and error handling.
Understanding of relational data modeling, access control, and multi-tenant data boundaries.
Familiarity with MCP, agent frameworks, and the evolving AI tooling landscape.
Comfort working in a high-ownership environment with loosely defined problems.

Nice To Haves

Experience with startups, social enterprises, or other fast-moving teams.

Responsibilities

Identify repetitive, slow, or error-prone workflows and quickly ship working solutions.
Build AI agents that take action across systems such as HubSpot, Intercom, Linear, and Guardify APIs.
Develop agents that work together, run on schedules, retain context, and proactively surface information.
Own the full lifecycle of solutions, including evaluations, guardrails, observability, reliability, and cost.
Design solutions with security and sensitive-data boundaries in mind from the beginning.
Create documentation and patterns that allow teams to maintain and extend solutions.
Stay current with emerging AI capabilities and turn promising ideas into working solutions.
Initially focus on opportunities across Sales enablement, Support and Onboarding, Capture operations, and Communications.
Learn unfamiliar business functions and translate team needs into technical solutions.
Question assumptions and determine when a process should be changed or eliminated rather than automated.