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An innovative organisation in the global risk assessment space is looking for a Software Engineer to join their growing team. You will be part of a forward-thinking group advancing AI to move from insight to action, helping clients navigate uncertainty with clarity and speed.
What You'll Be Doing
- Design and build scalable backend platforms, APIs, and services that power intelligent automation solutions and AI agents.
- Develop and deploy advanced LLM-powered applications using retrieval-augmented generation and prompt engineering.
- Create robust data and inference pipelines that support both real-time and batch AI workloads at enterprise scale.
- Partner with data scientists and machine learning engineers to integrate emerging AI capabilities into production products.
- Build systems that enable AI agents to perform complex tasks and deliver measurable business value.
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What We're Looking For
- At least 3 years of experience in backend software development building scalable, production-grade systems.
- Hands-on experience developing AI-powered applications, including large language models (LLMs) and evaluation frameworks.
- Strong knowledge of cloud platforms such as AWS, GCP, or Azure, along with Docker and Kubernetes.
- Proficiency with databases such as PostgreSQL and MongoDB and caching technologies like Redis.
- Bachelor's degree or higher in Computer Science, Software Engineering, or a related field.
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What's On Offer
- Opportunity to work at the intersection of software engineering and machine learning on cutting-edge products.
- A collaborative environment that champions diverse perspectives and innovative thinking.
- Flexible hybrid working model based in London.
- Professional development within a global leader in integrated risk assessment.
Apply via Hyra to be considered for this opportunity.
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Skills
Backend Development
Large Language Models
Retrieval-Augmented Generation
Prompt Engineering
API Design
AWS
GCP
Azure
Docker
Kubernetes
PostgreSQL
MongoDB
Redis
Data Pipelines
Machine Learning Integration
Scalable Systems
Location