Applied AI ML Associate - Agentic AI and Python

Job responsibilities

• Executes standard software solutions, design, development, and technical troubleshooting for the team's AI/ML products
• Builds and tests features of agentic AI, LLM-powered and ML applications under the direction of senior engineers
• Writes secure, high-quality production code and maintains algorithms that run synchronously with appropriate systems
• Contributes to model evaluation, guardrail testing, and observability tasks to firm-wide Responsible AI standards
• Participates in agile ceremonies, code reviews, and technical design discussions
• Gathers, analyses, and draws conclusions from data to support feature delivery and troubleshooting
• Learns continuously, using AI coding tools (e.g., Claude Code, GitHub Copilot) as part of day-to-day development
• Adds to the team culture of diversity, Opportunity, inclusion, and respect

Required qualifications, capabilities, and skills

• Formal training or certification on AI/ML engineering concepts and applied experience
• Proficiency in Python and a working grasp of modern software engineering practices (testing, version control, code review)
• Practical exposure to machine learning and/or Large Language Models (prompt engineering, RAG, or agentic frameworks) through study, projects, or work experience
• Familiarity with AI coding tools as part of the development workflow
• Understanding of CI/CD, containerisation, or cloud-native deployment concepts
• Ability to communicate technical concepts clearly to teammates and stakeholders
• BSc in Computer Science, Data Science, Engineering, or a related quantitative field

Preferred qualifications, capabilities, and skills