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LLM Application Engineer

bjakcareerUnited KingdomActAI Engineering
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Salary
Not listed
Job type
Full-time
Work mode
Remote
Experience
Mid
Posted
28 Sept 2026
Status
Open · checked 7d ago

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

Create and launch applications powered by large language models and artificial intelligence agents.
Formulate system architectures for reasoning, planning, memory management, tool usage, and multi-step task execution.
Construct orchestration pipelines that convert probabilistic outputs into predictable, observable, and secure actions.
Connect language models with APIs, databases, search engines, and internal or external tools.
Refine model behavior through prompt development, context engineering, structured outputs, and tool-calling methods.
Establish evaluation frameworks and test datasets to track artificial intelligence quality, reliability, and regression.
Troubleshoot artificial intelligence systems across the stack, encompassing model behavior, prompts, orchestration, and backend services.
Tune AI operations for quality improvement, latency reduction, and cost efficiency.
Collaborate with product and engineering units to transform product challenges into working solutions.
Implement production standards covering observability, tracing, experimentation, and continuous monitoring.

Requirements

Solid foundation in software engineering alongside practical experience creating AI-driven applications.
Hands-on background working with large language models, generative AI, or agent-based architectures.
Familiarity with designing prompts, workflows, evaluations, or managing model behavior.
Capability to write clean and production-ready code.
Comfort navigating multiple abstraction layers ranging from models to systems and end products.
Problem-solving abilities suited for fast-paced and ambiguous environments.
Orientation toward shipping products, iterating quickly, and continuous enhancement.

Skills and Tools

Python
OpenAI-compatible APIs and open-weight model providers
Agent frameworks and orchestration systems
Vector databases and retrieval systems
Backend services, APIs, and distributed systems
PyTorch and JAX

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.

Ready to apply?

The application is on the official bjakcareer careers page.

Apply on company site