Pyramid Consulting, Inc
Artificial Intelligence Engineer
Manchester
Posted about 14 hours ago
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AI Innovation Engineer
Location: Manchester
Contract: Inside IR 35
So, what will you be doing?
- 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.
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
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Your very own career expert that helps elevate your application to the next level.
- 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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Skills
TypeScript
Python
AWS
Machine Learning
Artificial Intelligence
CI/CD
Infrastructure as Code
Observability
Software Engineering
Real-time Systems
Recommendation Engines
Search and Ranking Systems
LLM
Cloud-native Applications
Testing
Scalability