About this role
Based in the United Kingdom, the LLM Application Engineer role at bjakcareer involves designing and developing AI-powered agent workflows and applications. This position suits software engineers with practical experience in large language models and generative AI systems who want to build reliable intelligence layers for everyday productivity tools.
Role Overview
ActAI seeks an LLM Application Engineer to construct the intelligence layer driving its application suite. The professional in this role connects artificial intelligence capabilities with software engineering to deliver dependable user experiences. Responsibilities span the entire lifecycle of AI features, from initial design and orchestration to production deployment and performance optimization.
Key Responsibilities
Requirements
Skills and Tools
About the Company
ActAI develops proactive applications designed to bring intelligence to everyday tasks such as emails, notes, tasks, calendars, workflows, and conversations with minimal prompting required from users. The company focuses on persistent context, real-world task completion, and high reliability for long-running workflows to reduce hallucinations and help users spend time on meaningful activities.
How to Apply
Interested candidates should visit the official bjakcareer company careers page to submit an application for this position.
Skills and tech stack
Questions candidates ask
What is the location of the LLM Application Engineer role?
The position is based in the United Kingdom.
What technologies and tools are used in this role?
The tech stack includes Python, OpenAI-compatible APIs, open-weight models, agent frameworks, vector databases, retrieval systems, backend services, distributed systems, PyTorch, and JAX.
What is the primary mission of ActAI?
ActAI builds proactive applications to bring intelligence to conversations, errands, organizing, and workflows with minimal to no prompting.
What are the main focus areas for the LLM Application Engineer?
Focus areas include building LLM applications and agent workflows, designing reasoning and memory systems, building orchestration pipelines, integrating APIs and databases, developing evaluation frameworks, debugging systems, and optimizing for quality, latency, and cost.
How should candidates apply for the job?
Candidates should apply directly on the official company careers page.
