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 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.
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.
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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