Open to Graduates - Retrieval and Agent Intelligence - Software Research Engineer (PAYE) - LLM / AI Agents / RAG / Python

Open to Graduates - Retrieval and Agent Intelligence - Software Research Engineer (PAYE) - LLM / AI Agents / RAG / Python

We're working with a true leader in research, development, and innovation, and we are looking for multiple graduates and experienced professionals for some Research Engineer positions.

With hundreds of thousands of employees globally, this company are at the forefront of advanced technological research, rated highly for R&D investments across Europe. They have continued to hire throughout the uncertainty of the economy and continue to invest across Europe.

This is a full time PAYE contract for 12 months and there may be extensions available depending on your right to work status.

This is an on-site position based in Edinburgh and if you are not based in Edinburgh, you will be required to relocate.

Role Overview

You will take technical ownership of translating abstract AI research concepts into high-quality prototypes and scalable software services on-site at a premier R&D office in Edinburgh.

Your responsibilities will cover the full research engineering lifecycle—from designing hybrid graph-retrieval pipelines and agent memory architectures to implementing strict validation boundaries, maintaining open-source contributions, and optimizing system execution for long-horizon planning and reasoning.

Key Responsibilities

• Serve as the core bridge between abstract AI/retrieval research and hardened, production-grade software architecture.
• Design and implement next-generation knowledge retrieval and agentic AI systems, including hybrid GraphRAG with late interactions, knowledgeable agents, and dynamic context compression.
• Build advanced state management, dynamic memory layers, and goal-tracking systems for long-horizon agent reasoning and planning.
• Contribute to core internal engineering pipelines, handling data preparation, algorithmic modeling, scaling, and production deployment support.
• Participate in open-source software development and maintain high engineering standards across codebase repositories.
• Collaborate closely with international research groups to turn state-of-the-art algorithmic discoveries into functional platform capabilities.

Required Experience

• Masters or PhD degree in Computer Science, Artificial Intelligence, Mathematics, or a related quantitative field
• Software engineering experience within research-driven, production, or advanced prototyping environments.
• Hands-on experience with advanced retrieval mechanisms, information retrieval pipelines, or search infrastructure.
• Proficiency with Python, containerization (Docker), version control (Git), and modern CI/CD practices.
• Solid software engineering principles (Test-Driven Development, clean reusable code architecture, automated testing).
• Strong algorithmic mindset comfortable with non-deterministic system behavior and complex data pipelines.
• Preferred: Background in Knowledge Graphs, graph databases, or modern multimodal ingestion frameworks.
• Preferred: Familiarity with LLM/agent mechanics (e.g., hallucination mitigation, context distillation, skill management, or reasoning frameworks).
• Preferred: Practical experience with NLP, Machine Learning tools, and high-performance validation boundaries.

*Must have full right to work in the UK without sponsorship. Post study work visas are fine as long as you can work full-time and have a minimum of 12 months on this*

I welcome your application if you'd like to find out more and if you know someone it would suit, we offer a fantastic referral scheme which I would be happy to discuss.

Keywords:

Consumer Electronics / R&D / Computer Science / LLM / AI Agent / RAG / Python / Retrieval

By applying to this role you understand that we may collect your personal data and store and process it on our systems. For more information please see our Privacy Notice https://eu-recruit.com/wp-content/uploads/2024/07/European-Tech-Recruit-Privacy-Notice-2024.pdf