Software Development Engineer, Trilogy at Crossover

What You Will Be Doing

• AI Expertise Growth: Mastering online AI classes and topics related to AI agents, prompting techniques, practical use of chain of thought, fine-tuning, vector databases, and more, to continuously develop AI proficiency.
• AI Development: Building end-to-end automated systems and learning apps that leverage AI exclusively, with no human decisions allowed, to enhance educational experiences and outcomes.
• AI Knowledge Curation: Staying on top of the latest developments in AI by e.g. curating the best X (Twitter) content that pushes the boundaries of the topic and disseminating it to the rest of the company
• AI Testing: Trying out the latest AI solutions on the market. From GPT4 Vision to Amazon CodeWhisperer, you’ll be amongst the first to incorporate them into your workflow and evaluate their usefulness
• AI Infrastructure Evaluation: Finding the best ways to run and host AI solutions within the AWS ecosystem and beyond
• Problem Decomposition: Analyzing complex decisions that AI cannot (yet) make, breaking them down into deterministic decision trees, and finding innovative ways to involve AI in those processes
• EdTech Project Development: Collaborating on AI-driven projects such as student-facing chatbots, AI-powered writing apps, AI-led learning data analysis, and more, to improve the educational landscape

Basic Requirements

Software Development Engineer key responsibilities

A passion for and basic understanding of generative AI, Large Language Models, Prompt Engineering, and the wider AI ecosystem

Proficiency in Python (or able to become proficient in

Able to set up web scraping for content collection

Comfort working in a fast-paced environment with high standards for outputs

Able to work independently, self-organize, and motivate

Comfort working in a fast-paced environment with high standards for outputs

Nice-to-have Requirements

Proficiency in HTML/CSS/JavaScript or any other Frontend web development framework