AI Engineer: Production-Grade LLM & Intelligent Systems

Quant Capital; Greater London; On-site; GBP 90,000 - 130,000; Full time

Job summary

Quant Capital is seeking an AI Engineer to join a high-performing engineering team in London. You will design and deploy production-grade AI systems, work on LLM-powered applications, and own projects from conception through deployment.

The role emphasizes real-world AI challenges, data handling, model fine-tuning, retrieval, and robust evaluation. You will collaborate with software engineers and product teams to ship reliable, scalable AI capabilities.

Qualifications

• Strong software engineering fundamentals and experience developing production-quality systems.
• Strong Python skills and a solid understanding of software design principles.
• Commercial or substantial project experience working with machine learning, AI or LLM-based systems.
• Experience building and deploying AI/ML applications rather than working solely with research prototypes.
• Good understanding of modern LLM concepts, including prompting, embeddings, retrieval, agents, tool use and model evaluation.
• Experience with one or more machine learning frameworks and familiarity with modern AI development tooling.
• Strong data skills, with experience working with structured and unstructured data.
• An understanding of the practical trade-offs involved in AI systems, including accuracy, latency, scalability, reliability and cost.
• A strong analytical approach and the ability to break down complex technical problems.
• Experience designing APIs, backend services or other production software would be advantageous.
• A degree in Computer Science, Mathematics, Engineering, Physics or another highly quantitative/technical discipline is preferred.

Responsibilities

• Design, develop and deploy production-grade AI and machine learning systems.
• Build LLM-powered applications, including agentic workflows, tool use and multi-step reasoning systems.
• Develop and improve models across areas such as natural language processing, structured data and other machine learning applications.
• Experiment with different models and approaches, assessing their performance, reliability, latency and cost.
• Develop systems for prompt engineering, model adaptation, fine-tuning and retrieval where appropriate.
• Build robust evaluation frameworks to measure model performance and identify areas for improvement.
• Work with large and potentially messy datasets to extract useful information and develop intelligent solutions.
• Design reliable software around inherently non-deterministic AI models, with appropriate monitoring, testing and safeguards.
• Take ownership of projects from initial problem definition through development, deployment and iteration.
• Work alongside software engineers and product teams to turn complex requirements into scalable technical solutions.
• Continuously investigate new AI technologies, frameworks and approaches and assess where they can provide genuine value.

Skills

Python

Software engineering

ML/AI

LLM concepts

APIs/backend

Data handling

Education

Bachelor's degree in Computer Science/Mathematics/Engineering/Physics

Tools

ML frameworks

Job description

Quant Capital is seeking an AI Engineer to join a high-performing engineering team in London. You will design and deploy production-grade AI systems, work on LLM-powered applications, and own projects from conception through deployment.

The role emphasizes real-world AI challenges, data handling, model fine-tuning, retrieval, and robust evaluation. You will collaborate with software engineers and product teams to ship reliable, scalable AI capabilities.