About this role
This role suits an engineer with software development and generative AI experience who wants to build proactive AI applications in Ireland. The LLM Application Engineer position at bjakcareer involves creating the intelligence layer for AI-native experiences and is based in Ireland.
Role Overview
The LLM Application Engineer builds the intelligence layer that drives ActAI experiences by combining software engineering, product design, and large language models. The professional creates agent workflows, refines model performance, and transforms artificial intelligence capabilities into dependable user experiences. Responsibilities span end-to-end problem ownership, from initial user requirement analysis to production evaluation and system optimization.
Key Responsibilities
Requirements
Skills and Tools
About the Company
ActAI develops proactive applications intended for users globally to simplify tasks without requiring complex prompting. The organization focuses on bringing intelligence to everyday conversations, errands, organization, and workflows. The product strategy emphasizes high reliability for long-running workflows, persistent context, and real-world task completion to minimize hallucinations.
How to Apply
Interested candidates should apply directly on the official company careers page.
Skills and tech stack
Questions candidates ask
Where is the LLM Application Engineer position located?
The role is located in Ireland.
What tools and technologies are used in the tech stack?
The tech stack includes Python, OpenAI-compatible APIs, open-weight models, agent frameworks, orchestration systems, vector databases, retrieval systems, backend services, distributed systems, PyTorch, and JAX.
What are the primary responsibilities of this role?
Responsibilities include building LLM-powered applications, designing agent workflows and reasoning systems, creating orchestration pipelines, integrating models with databases and APIs, developing evaluation frameworks, debugging across the stack, and optimizing for quality, latency, and cost.
What background is required for applicants?
Applicants need strong software engineering fundamentals, hands-on experience with LLMs or generative AI, experience designing prompts and evaluations, the ability to write clean production code, and problem-solving skills in ambiguous environments.
How should I submit my application?
Candidates must apply on the official company careers page.