AI Solutions Engineer

Multiverse is a upskilling platform for AI and Tech adoption. We're looking for an AI Solutions Engineer to join our Learning team and architect and lead the development of tooling that enables our Learning team to create world class experience building upon the AI tooling we’ve developed over the last year and evolve it to new capabilities and potential.

Requirements

• 6-7 years in software engineering with strong understanding of Applied AI fundamentals
• Experience working in cross-functional product teams
• LLM Expertise: Experienced in working with large language models (e.g., GPT, Claude, Gemini Pro) for production use cases, including prompt engineering, evaluation, and safety & inclusivity considerations.
• Strong Engineering Skills: Proficient in Python and TypeScript, with experience building APIs, microservices, and cloud-native applications.
• Experience with AI Tools: Familiarity with emerging AI tooling platforms such as Cursor and Gemini is highly desirable.
• Cloud & MLOps: Practical experience deploying AI solutions on AWS, with a strong grasp of version control, observability, and evaluation pipelines.
• Data Skills: Skilled at working with structured and unstructured data, applying preprocessing and feature engineering techniques.
• User Focus: You can translate complex AI capabilities into product experiences that feel effortless and intuitive.
• Collaborative Approach: You work best in creative and cross-functional teams and thrive when building together.
• Growth Mindset: You’re curious, open to feedback, and excited to share what you learn while contributing to an inclusive, high-performing culture.

Benefits

• 27 days holiday, plus 5 additional days off
• Private medical Insurance with Bupa
• Medical cashback scheme
• Life insurance
• Gym membership & wellness resources through Wellhub
• Access to Spill - all in one mental health support
• Hybrid work offering
• Work-from-anywhere scheme - up to 10 days per year
• Space to connect