About this role
ActAI seeks an LLM Application Engineer based in the United States to build the intelligence layer for proactive AI applications. This position suits an engineer focused on turning generative models into reliable, production-ready user experiences.
Role Overview
ActAI hires an LLM Application Engineer to design agent workflows, improve model behavior, and integrate models into software products. The professional takes charge of problems from user understanding to evaluation systems in production. The objective centers on bringing intelligence to everyday workflows with minimal prompting.
Key Responsibilities
Requirements
Skills and Tools
About the Company
ActAI builds proactive applications to help users organize conversations, errands, and workflows without complex prompting. The organization focuses on long-running workflows, persistent context, real-world task completion, and minimizing model hallucinations.
How to Apply
Interested candidates should visit the official company careers page to submit an application.
Skills and tech stack
Questions candidates ask
What is the primary objective of the LLM Application Engineer role?
The engineer builds the intelligence layer that powers ActAI products, designing agent workflows, integrating models, and turning AI capabilities into reliable user experiences.
Where is the position located?
The role is located in the United States.
What technologies and tools are used in the stack?
The stack includes Python, OpenAI-compatible APIs, open-weight models, agent frameworks, vector databases, retrieval systems, backend services, distributed systems, PyTorch, and JAX.
What are the main focus areas for system design?
Focus areas include reasoning, planning, memory, tool use, multi-step execution, and orchestration pipelines that turn probabilistic outputs into safe actions.
How should an interested candidate apply?
Candidates must apply directly on the official company careers page.