About this role
This position suits software professionals with backend, full-stack, or platform development expertise who want to build internal AI solutions in the United States. ActAI is hiring a Lead Engineer for AI Internal Systems to develop tools that automate operations and enhance productivity.
Role Overview
ActAI seeks a Lead Engineer for AI Internal Systems in the United States to create technologies that transform organizational workflows. The professional will target operational areas like finance, recruiting, and human resources to deploy machine intelligence that minimizes repetitive tasks and enhances decision-making capabilities within the company.
Key Responsibilities
Requirements
Skills and Tools
About the Company
ActAI develops proactive artificial intelligence applications designed to handle tasks such as conversations, organization, and workflows with minimal user prompting. The organization focuses on long-running workflow reliability, persistent context, and real-world task completion to reduce hallucinations and help users manage daily responsibilities.
How to Apply
Candidates should visit the official company careers page to submit an application for this opportunity.
Skills and tech stack
Questions candidates ask
What is the primary focus of the Lead Engineer role?
The role involves building AI-powered internal systems and tools to improve efficiency, automate repetitive processes, and optimize workflows across departments like finance, operations, recruiting, and human resources.
Where is the position located?
The position is located in the United States.
What technical background is required?
Applicants need experience with backend, full-stack, or platform development, alongside strong programming fundamentals and a background in shipping production software or automation systems.
What skills are considered a plus?
Experience with APIs, databases, cloud infrastructure, and AI integrations is considered a plus.
What does the interview process look like?
The interview process consists of three to four interviews conducted via virtual meetings and/or onsite, evaluated by technical team members.
