AI LLM Engineer - Remote in EMEA

Workster; United States; Remote; USD 120,000 - 190,000; Full time

Benefits offered by this job

Remote EMEA region focus

Cross-team collaboration

Impactful AI product development

Influence on technical decisions

Job summary

Workster is seeking an AI LLM Engineer to build and improve AI-powered products. You will design, develop and integrate LLM-powered features, and create reliable backend components and APIs for AI applications.

In a remote, international environment, you will evaluate model outputs, refine prompts, explore RAG techniques, embeddings and tool use, and collaborate across product and engineering teams to deliver robust AI solutions.

Qualifications

• Professional experience in software engineering, machine learning or a related technical role.
• Experience building applications or services that use large language models.
• Strong programming skills in Python or another relevant language.
• Understanding of LLM APIs, prompt design and the strengths and limitations of generative AI models.
• Experience with backend development, APIs and integrating external services.
• Familiarity with evaluation methods for AI systems, including testing model outputs and tracking quality.
• Understanding of data handling, privacy and security considerations when working with AI systems.
• Experience with RAG, vector databases, embeddings or AI orchestration frameworks is an advantage.
• Familiarity with cloud platforms, containers, CI/CD or production monitoring is an advantage.
• Strong analytical and problem-solving skills, with attention to reliability and maintainability.
• Clear communication skills and the ability to collaborate effectively in a remote team.
• Comfortable working independently, managing priorities and adapting to a fast-changing technical landscape.
• Ability to work remotely within the EMEA region.

Responsibilities

• Design, develop and integrate LLM-powered features and services.
• Build and maintain reliable backend components and APIs for AI applications.
• Develop and refine prompts, workflows and model configurations to improve response quality.
• Explore techniques such as retrieval-augmented generation (RAG), embeddings and tool use where appropriate.
• Evaluate model outputs for quality, accuracy, consistency and relevance using appropriate tests and metrics.
• Monitor AI features in production and investigate performance or reliability issues.
• Collaborate with product, engineering and other stakeholders to define requirements and deliver solutions.
• Contribute to decisions about model selection, integration approaches and system architecture.
• Apply responsible AI practices, considering privacy, security, safety and potential model limitations.
• Document technical decisions, workflows and evaluation results.
• Keep up to date with developments in LLMs and related AI technologies, identifying opportunities to improve products.

Skills

LLM application development

Python

Backend APIs

LLM APIs & prompt design

AI system evaluation

Data privacy & security

RAG & embeddings

Cloud platforms & CI/CD

Analytical thinking

Remote collaboration

EMEA remote work

Tools

Job description

Our client is looking for an AI LLM Engineer to help build and improve AI-powered products. In this role, you will develop and integrate large language model (LLM) solutions, turning product and user needs into reliable, high-quality features.

You will work with engineering and product colleagues in a remote, international environment, contributing across the LLM development lifecycle - from experimentation and evaluation to deployment and ongoing improvement.

Your Role

• Design, develop and integrate LLM-powered features and services

• Build and maintain reliable backend components and APIs for AI applications

• Develop and refine prompts, workflows and model configurations to improve response quality

• Explore techniques such as retrieval-augmented generation (RAG), embeddings and tool use where appropriate

• Evaluate model outputs for quality, accuracy, consistency and relevance using appropriate tests and metrics

• Monitor AI features in production and investigate performance or reliability issues

• Collaborate with product, engineering and other stakeholders to define requirements and deliver solutions

• Contribute to decisions about model selection, integration approaches and system architecture

• Apply responsible AI practices, considering privacy, security, safety and potential model limitations

• Document technical decisions, workflows and evaluation results

• Keep up to date with developments in LLMs and related AI technologies, identifying opportunities to improve products

Your Qualifications

• Professional experience in software engineering, machine learning or a related technical role

• Experience building applications or services that use large language models

• Strong programming skills in Python or another relevant language

• Understanding of LLM APIs, prompt design and the strengths and limitations of generative AI models

• Experience with backend development, APIs and integrating external services

• Familiarity with evaluation methods for AI systems, including testing model outputs and tracking quality

• Understanding of data handling, privacy and security considerations when working with AI systems

• Experience with RAG, vector databases, embeddings or AI orchestration frameworks is an advantage

• Familiarity with cloud platforms, containers, CI/CD or production monitoring is an advantage

• Strong analytical and problem-solving skills, with attention to reliability and maintainability

• Clear communication skills and the ability to collaborate effectively in a remote team

• Comfortable working independently, managing priorities and adapting to a fast-changing technical landscape

• Ability to work remotely within the EMEA region

The Offer

• Remote opportunity for candidates based in the EMEA region

• Opportunity to build and improve products powered by large language models

• Collaborative work with colleagues across product and engineering

• Scope to contribute to technical decisions and the development of AI solutions