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Mid LevelFull-timePythonAWSAzureTerraformMicroservicesMachine LearningData SciencePyTorchCI/CDGit
Salary Range
$76,500 - $103,500 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are looking for an Applied AI Engineer to join our team at Multiverse. This role focuses on transforming cutting-edge AI research into scalable products that enhance learning and development for thousands of users. You will play a pivotal role in steering our AI roadmap and collaborating across product and engineering teams.
Key Responsibilities
- →Design and deliver AI/ML solutions that translate complex stakeholder queries into actionable experiments
- →Architect LLM and agentic workflows using GPT, Claude, and Gemini for content generation and personalized learning
- →Own the end-to-end lifecycle from data preprocessing to deployment and continuous iteration
- →Proactively monitor and refine models to optimize effectiveness while minimizing biases
- →Build and maintain scalable pipelines for model training and deployment using AWS and MLOps practices
- →Communicate actionable insights to stakeholders and mentor colleagues on AI applications
Requirements
- ✓5+ years of experience in Data Science, Machine Learning, or AI Engineering
- ✓Proficiency in Python and its ecosystem (NumPy, Pandas, Scikit-Learn, PyTorch)
- ✓Deep experience with LLM orchestration and prompt engineering
- ✓Advanced knowledge of SQL and experience with structured and unstructured data
- ✓Strong proficiency in building APIs and microservices
- ✓Practical experience deploying AI solutions in AWS or similar cloud environments
Benefits
- ★27 days holiday plus additional days off for life events, volunteering, and wellbeing
- ★Comprehensive health and wellness benefits including medical insurance, life insurance, and gym membership
- ★Hybrid work offering with the option to work from anywhere up to 10 days per year
- ★Opportunities for connection through weekly catch-ups and seasonal celebrations
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