AI Enablement Engineer

Guardify Inc.; Omaha (NE); On-site; USD 90,000 - 150,000; Full time

Job summary

Guardify Inc. is seeking an AI Enablement Engineer to identify repetitive workflows and build production-grade automation.

You will design, implement, and ship AI agents that interact with systems such as HubSpot, Intercom, Linear, and internal Guards API. You will own the full lifecycle from idea through production, including guardrails, observability, and cost considerations, while prioritizing security and data boundaries.

Qualifications

• Proven experience delivering production-grade AI/automation solutions.
• Experience shipping AI agents that users rely on.
• Strong ability to design and ship scalable systems end-to-end.
• Familiarity with tool orchestration, memory, retrieval, and evaluation in AI apps.
• Experience building integrations with logging, retries, and error handling.

Responsibilities

• Identify repetitive workflows and ship practical automation quickly.
• Build AI agents that operate across systems like HubSpot, Intercom, Linear, and Guardify APIs.
• Develop multi-agent workflows that retain context and surface insights proactively.
• Own full lifecycle: evaluation, guardrails, observability, reliability, and cost.
• Design with security and sensitive data boundaries from the start.
• Create docs and patterns to help teams maintain and extend solutions.
• Stay current with AI tooling and turn ideas into working solutions.

Skills

Engineering fundamentals

LLM applications

AI agents

API integrations

Security awareness

Observability

Cost awareness

TypeScript

React

Node

Postgres

AWS

Documentation

Learning mindset

Problem ownership

Tools

TypeScript

React

Node

Postgres

AWS

Job description

AI Enablement Engineer

Guardify is a mission-driven technology company building digital evidence solutions that protect vulnerable populations and support justice, healing, and accountability. We work closely with Child Advocacy Centers and public-sector partners to safeguard some of the most sensitive data imaginable, and we move fast, thoughtfully, and with purpose.

We’re a lean, collaborative team that values momentum, clarity, and real-world impact.

The Role

Most engineering jobs are scoped to a product. This one is scoped to the company.

You’ll identify areas across Guardify that are repetitive, slow, or error-prone and build solutions that materially change how our teams work. From Sales and Support to Onboarding, Capture Operations, and Marketing, you’ll build AI agents and automation that take mechanical work off people’s plates.

This is a high-ownership, high-trust role. You’ll be given problems, not tickets, and will shape solutions from idea through production alongside the people who use them.

What You’ll Do

• Identify repetitive, slow, or error-prone workflows and quickly ship working solutions.

• Build AI agents that take action across systems including 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 your solutions, including evaluations, guardrails, observability, reliability, and cost.

• Design with security and sensitive-data boundaries in mind from the beginning.

• Create documentation and patterns that allow teams to maintain and extend what you build.

• 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.

What We’re Looking For

• Strong engineering background with the 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.

• Comfortable quickly learning unfamiliar business functions and translating their needs into technical solutions.

• Strong bias toward shipping small, working solutions and iterating based on results.

• Ability to question assumptions and determine when a process should be changed or eliminated rather than automated.

• 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.

• Experience with startups, social enterprises, or other fast-moving teams is a plus.

• Comfortable working in a high-ownership environment with loosely defined problems.