Forward Deployed Engineer — AI Systems & Workflows

About AcquisitionAI

AcquisitionAI is building infrastructure that removes phone-based coordination work from healthcare staff.

In skilled nursing facilities, nurses handle constant phone interruptions — nurse reports, family updates, hospital coordination, pharmacy requests, and internal routing. These calls are operationally necessary but extremely disruptive.

AcquisitionAI replaces those phone workflows with AI-driven coordination systems.

Facilities rely on our platform to manage real-world communication workflows every day.

We’re a small team building operational infrastructure for healthcare facilities.

The Role

We’re hiring a Forward Deployed Engineer to help deploy and operate our AI systems across facilities.

This role sits between product, engineering, and operations.

You will configure AI agents, manage conversation workflows, connect systems through APIs, and support new facility deployments.

You’ll work directly with the product and engineering teams to expand how the system operates across real-world environments.

What You'll Do

Deploy AI systems for new healthcare facilities

Configure AI agents and conversation workflows

Connect external systems through APIs

Test and validate call scenarios during deployments

Review system behavior and refine workflows

Manage operational workflows across facilities

Work closely with engineering on system improvements

A Day in the Life

Monday morning you’re preparing a new facility deployment.

You review how the facility handles incoming calls — nurse reports, family updates, pharmacy coordination, and internal routing — and configure the AI agents to handle those workflows.

You connect the facility’s systems through APIs and run test call scenarios to verify the workflows behave correctly.

Later that afternoon you review transcripts from calls handled by the system earlier in the week. You notice a pattern where callers ask for patient updates in slightly different ways. You refine the conversation workflow so the system handles those variations more reliably.

Midweek you prepare another facility deployment:

• configure AI agents
• connect APIs
• test call scenarios
• validate routing logic

You also work with the product team to expand one of the system’s core workflows based on patterns observed in production.

By Friday you’re reviewing activity across facilities and making adjustments that improve how the system operates in real-world environments.

What We're Looking For

• Strong technical problem-solving ability
• Comfort working with APIs and system integrations
• Ability to think in workflows and operational systems
• Strong attention to detail
• Ownership mindset — able to take problems end to end
• Comfort working in a fast-moving startup environment

Nice to Have

• Experience with automation tools or integration platforms
• Experience with conversational AI systems
• Basic scripting experience (JavaScript or Python)
• Experience deploying or configuring production systems
• Candidate Profile

Why This Role Exists

As we deploy the platform across more facilities, we’re expanding the team responsible for operating and configuring the system in production environments.

You’ll play a key role in scaling deployments and expanding how the system supports real-world workflows.

Pay: $25.00 - $30.00 per hour

Benefits:

• Paid time off

Work Location: Remote