About this role
This position suits a professional with a strong machine learning foundation who wants to bridge model capabilities with real-world product behavior. The Applied AI Engineer role is based in Ireland at ACTAI and involves transforming basic applications into proactive, AI-native tools for global users.
Role Overview
ACTAI seeks an Applied AI Engineer for a full-time position located in Ireland. The professional in this position will transform raw model capabilities into predictable product functionality, handling problems from initial behavior shaping to production reliability.
Key Responsibilities
Requirements
Skills and Tools
About the Company
ACTAI develops proactive applications intended for users who prefer minimal prompting, aiming to introduce intelligence into everyday conversations, errands, organization, and workflows. The organization focuses on long-running workflows with high reliability, persistent context, and practical task completion to decrease hallucinations.
How to Apply
Interested candidates should visit the official company careers page to submit an application.
Skills and tech stack
Questions candidates ask
Where is the Applied AI Engineer position located?
The role is located in Ireland.
What technical stack is required for this role?
The tech stack includes Python, PyTorch, JAX, Large Language Models like OpenAI-style APIs, LLaMA, and Qwen, inference and serving tools like vLLM, and vector databases.
What is the primary focus of the Applied AI Engineer?
The focus is on building and shipping AI features end-to-end, designing prompts and agent workflows, turning model outputs into reliable behaviors, debugging full stack issues, and optimizing for latency, cost, and production reliability.
What is the interview process like?
The interview process consists of three to four interviews conducted through virtual meetings and/or onsite sessions, evaluated by technical team members.
What does ACTAI build?
ACTAI builds proactive, AI-native applications for everyday tasks like email, notes, calendar, and workflows with minimal to no prompting required from users.
