Hays
Senior Applied AI Engineer
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Your new company
You will join an Investment Management firm developing the next stage of its portfolio technology platform. The business is looking to add a new AI layer and wants an engineer who can turn that ambition into a secure, dependable capability used by the wider team. You will join an existing operation and work closely with colleagues across the product and technical delivery.
Your new role
This is a hands-on position spanning AI application development, backend engineering, data integration, and production delivery. You will:
- Design, build, and deliver the backend services and APIs that support the new AI layer.
- Develop controlled integrations with internal data and agreed external information sources, ensuring outputs are current and traceable.
- Work with a Frontend Engineer to connect the AI capability to the user interface and agree on delivery priorities.
- Build appropriate security controls, including permissions, audit logging, and safeguards for sensitive data.
- Establish automated tests and AI evaluations, then monitor accuracy, reliability, latency, and cost once the capability is live.
- Release iteratively, using feedback from users to improve the product and documenting the systems you build.
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What you'll need to succeed
You will bring strong software-engineering judgement alongside practical experience of building AI systems. We are particularly interested in:
- Around five or more years' relevant experience in software, machine learning, or data engineering, with clear examples of taking applications beyond proof of concept and into production.
- Strong Python skills and experience developing backend services, APIs, and data pipelines; SQL experience would be valuable.
- Hands-on experience with LLM applications, including areas such as agent workflows, tool use, retrieval, or RAG, and connecting models to trusted data.
- Experience deploying and operating applications on a major cloud platform, with a sound approach to CI/CD, automated testing, and monitoring.
- An understanding of AI evaluation, access controls, data protection, and auditability when working with sensitive information.
- The ability to make pragmatic architectural decisions, collaborate with other engineers, and explain technical trade-offs to stakeholders.
- Experience in investment management, wealth management, fintech, or another data-sensitive environment would be advantageous, but demonstrable production AI delivery is the priority.
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What you'll get in return
- Competitive bonus package (sign-on and yearly)
- Pension scheme
- Annual leave
- Hybrid working arrangements
- Additional benefits in line with company policy
What you need to do now
If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now. If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career.
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