Pyramid Consulting, Inc
Artificial Intelligence Engineer
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Role: AI Innovation Engineer
Location: Manchester, UK
Type of employment: Contract
About the Role
You'll be part of the team responsible for bringing AI innovation into the hands of millions of players. Working alongside AI researchers and experienced engineers, you'll transform proven concepts into high-quality, production-ready features that power personalised player experiences.
From recommendation systems and intelligent search to AI agents and dynamic content discovery, you'll build and scale the technology that sits behind our products. This is a senior, hands-on role with genuine ownership: you'll influence how solutions are designed, built and delivered while working in a collaborative team that's passionate about solving complex engineering challenges with AI.
Responsibilities:
- Take prototypes and validated concepts from R&D and turn them into production systems: hardened, tested, observable, and maintainable.
- Build and operate real-time personalisation, recommendation, search, and ranking systems against live traffic and within real latency budgets.
- Hold a high engineering bar on AWS and TypeScript: clean CI/CD, infrastructure as code, observability, and testing.
- Work closely with R&D engineers, product managers, data analysts, and Staff Engineers, bridging fast experimental work and production discipline.
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Experience:
- Significant commercial software engineering experience (typically 5+ years) with strong expertise in TypeScript and working knowledge of Python.
- Proven experience delivering AI, machine learning, or data-driven features into production, such as recommendation engines, search, ranking systems, or LLM-powered applications.
- Hands-on experience building and operating cloud-native applications on AWS, with a solid understanding of CI/CD, infrastructure as code, and production monitoring.
- Experience developing and supporting high-performance, real-time systems with a focus on scalability, reliability, and low latency.
- Experience measuring and evaluating AI model performance, using data and experimentation to drive continuous improvement.
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Skills & Behaviours:
- A hands-on engineer who enjoys solving complex technical challenges and delivering high-quality, production-ready solutions.
- Strong understanding of modern software engineering best practices, with a focus on clean, maintainable, and well-tested code.
- Comfortable working in a collaborative, cross-functional environment alongside engineers, product teams, and AI researchers.
- Excellent communication skills, able to explain technical concepts clearly to both technical and non-technical stakeholders.
- Proactive, curious, and continuously looking for opportunities to improve products, processes, and the way AI solutions are delivered.
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