AI Solutions Engineer

Experience delivering Large Language Model projects with customers, including LLM API integration, up-to-speed knowledge of foundation models, SFT (Supervised Fine-Tuning), prompt engineering, RAG (Retrieval-augmented generation) and / or measuring AI accuracy.
Two years + experience in solutions architecture or integrating multiple applications / data streams, or ML development within customer-facing roles.
Intermediate experience with Python.
University degree in computer science, engineering, mathematics or related fields.
Solutioning: ability to develop and articulate an AI solution vision to technical and business stakeholders with customers and partners to match value proposition to business needs.
Thrived as a another fast-paced SaaS startup or scale-up during a high-growth phase.

Develop and present workflow implementations within V7 that combine prompt engineering, data ingestion pipelines, and format conversions, solving customer problems in image recognition, document processing, product development and more.
Work with our product team to assist with the integration of new models and ML-Ops tools into V7.
Develop and maintain the integration into major cloud marketplaces so users can more easily set up V7 on their cloud of choice.
Multi-task between up to 5 simultaneous projects delivered in short timeframes. You are a skilled multi-tasker and familiar with project management tools like Linear.