Applied AI Engineer, xAI

• All engineers and researchers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates
• Strong passion for solving real-world business problems and delivering measurable impact through AI solutions
• Proven track record of shipping high-quality code and successfully completing projects in challenging environments
• Ability to navigate ambiguity and adapt to changing requirements and priorities in a fast-paced startup environment
• Strong communication skills that will become important when interfacing with customers to clarify requirements and drive a project to completion
• Emphasis on designing, implementing, and maintaining robust and scalable AI-driven solutions
• Proficiency in working with large, complex codebases and designing efficient data processing and model serving architectures
• 4+ years of software engineering experience preferred
• Great verbal and written communication skills in English
• Ability to turn business and product ideas into engineering solutions
• Proven experience in AI or machine learning product implementation with APIs, back-end and front-end interfaces
• Experience in Python and/or TypeScript
• Understanding of the HTTP protocol
• Strong engineering background, preferred in fields such as Computer Science, Mathematics, Software Engineering, Physics, and Data Science

Desirable

• Enterprise API - Applied AI Engineers work directly with our end customers owning strategy and execution. Your responsibilities look similar to that of a hands-on AI startup CTO: you’ll work in a small team to own delivery of high stakes projects with clients. A day’s work may include:
• Deliver solutions end to end that meet the needs of our customers - understanding user pain points, scoping product specs, and designing and building LLM-powered software
• Benchmarking the model or help write evals for customers to identify model weaknesses
• Improve model performance by system prompt tuning or fine tuning models
• Analyze request logs or read through prompt data
• Build internal tooling to automate yourself out of the job
• Improving xAI SDKs or developer documentation based on customer feedback

• After submitting your application, the team reviews your CV and statement of exceptional work. If your application passes this stage, you will be invited to a 15 minute interview (“technical phone interview”) during which a member of our team will ask technical questions about your background or specialization. If you clear the initial phone interview, you will enter the main process, which consists of four technical interviews:
• Coding assessment in a language of your choice
• Systems hands-on: Demonstrate practical skills in a live problem-solving session
• Project deep-dive: Present your past exceptional work to a small audience
• Meet and greet with the wider team