Forward Deployed AI Engineer
Adobe
AngularAWSAzureDockerGraphQLJavaJavaScriptNext.jsNode.jsReactTerraform
Job Level
Mid-LevelSenior
Tech Stack
AWSCloudMicroservicesPythonPyTorchScikit-LearnTensorflowTypeScript
About the role
- Multiverse is the upskilling platform for AI and Tech adoption partnering with 1,500+ companies and 800+ employees
- Transform cutting-edge AI research into real-world products to personalise learning and improve outcomes
- Design, fine-tune, and integrate LLM-powered solutions for content generation, semantic search, summarisation, and personalised learning
- Develop, fine-tune, and embed machine learning models into production systems using tools like Cursor and Gemini
- Own end-to-end lifecycle from raw data through experimentation, deployment, and iteration
- Build MLOps pipelines and AWS cloud infrastructure for training, deployment, and monitoring
- Measure performance, accuracy, and adoption of AI features and enable colleagues to apply AI across teams
Requirements
- Built and deployed machine learning models using frameworks like PyTorch, TensorFlow, or scikit-learn
- Experience working with large language models (e.g., GPT, Claude, Gemini Pro) including prompt engineering, evaluation, safety and inclusivity
- Proficient in Python and TypeScript; experience building APIs, microservices, and cloud-native applications
- Familiarity with AI tooling platforms such as Cursor and Gemini
- Practical experience deploying AI solutions on AWS, including CI/CD for models, version control, observability, and retraining pipelines
- Skilled at working with structured and unstructured data, preprocessing and feature engineering
- Ability to translate AI capabilities into intuitive product experiences
- Collaborative, cross-functional team experience and a growth mindset
