AI Platform Engineer

• Design and deploy platform features, data pipelines, automations, and internal tools that improve Allocator's data aggregation, analytics, and reporting workflows

• Use AI coding assistants as core daily tools; we value problem-solving ability and execution speed over memorising syntax

• Build agentic workflows and AI-driven features into our platform and internal tooling, applying LLMs and orchestration frameworks where they deliver real leverage

• Analyse workflows across data collection, fund reporting, and client delivery, identifying improvement opportunities and implementing practical solutions

• Move from concept to prototype to production efficiently. Launch MVPs, track performance, and iterate based on client and internal feedback

• Collaborate with Product, Data, and Client Success teams to understand requirements, demonstrate solutions, and support adoption

• Establish performance baselines, implement changes, and document measured impact for every feature shipped

• Lead discovery sessions with Product and Data teams, documenting success criteria, technical specifications, and trade-offs clearly

• Develop release notes, setup guides, and onboarding materials accessible to non-technical colleagues and clients

Requirements

• Bachelor's degree (Master's preferred) in Computer Science, Applied Mathematics, Engineering, Statistics, Physics, or a related quantitative discipline
• First-Class or Upper Second-Class Honours (2:1 or above) from a UK or internationally recognised university, or equivalent (e.g. GPA 3.5+/4.0)
• Strong written and verbal communication, capable of producing technical specifications, presenting demonstrations, and translating between technical and business contexts
• Analytical mindset with the ability to decompose complex, ambiguous challenges into actionable steps
• Programming foundation in Python, SQL, or JavaScript (academic projects, internships, or capstone work)
• Daily working fluency with AI development tools (ChatGPT, Claude, Git Hub Copilot, Cursor), used as core tools rather than occasional aids
• Bias for action; prefers experimentation and data-driven iteration over extended planning
• Desirable:
  Hands-on experience building with LLMs, prompt engineering, or AI agent frameworks in a production environment
• Background in data analysis, process optimisation, or computational modelling
• Internship or work experience in fintech, asset management, consulting, or technology
• Familiarity with or interest in alternative investments, fund data, or institutional finance

🔍 ATS Optimization Keywords
Below are skills and terms extracted directly from this job posting to improve Applicant Tracking System (ATS) visibility. This unique feature helps candidates tailor their applications more effectively — a feature exclusive to Job Tailor job listings.

Hard Skills

• Python
• SQL
• Java Script
• data analysis
• process optimisation
• computational modelling
• LLMs
• prompt engineering
• AI agent frameworks
• data pipelines

Soft Skills

• problem-solving
• execution speed
• analytical mindset
• strong written communication
• strong verbal communication
• collaboration
• bias for action
• experimentation
• data-driven iteration
• documentation

Certifications & Qualifications

• Bachelor's degree
• Master's degree (preferred)
• First-Class Honours
• Upper Second-Class Honours
• GPA 3.5+/4.0