Forward Deployed AI Engineer – Enterprise
| Company | xAI |
|---|---|
| Location | Palo Alto, CA, USA, London, UK, San Francisco, CA, USA |
| Salary | $180000 – $440000 |
| Type | Full-Time |
| Degrees | Bachelor’s |
| Experience Level | Senior, Expert or higher |
Requirements
- 6+ 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 Rust, 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
Responsibilities
- Deliver solutions end-to-end that meet customer needs—understanding user pain points, scoping product specs, and designing and building LLM-powered software
- Working on frontend/backend integration for an exceptional end-user experience, including integration into existing auth, billing, and account creation systems
- Adding logging/metrics for user activity and retention to drive data-informed decisions
- Benchmarking models or helping write evals for customers to identify weaknesses
- Improving model performance through system prompt tuning or fine-tuning models
- Analyzing request logs or reading through prompt data
- Starting with fixing miscellaneous API bugs encountered in the wild
- Building internal tooling to automate repetitive tasks
- Improving xAI SDKs or developer documentation based on customer feedback
Preferred Qualifications
- Building evals for new capabilities and evaluating our systems
- Demonstrating an understanding of machine learning fundamentals, including model evaluation, training, and fine-tuning
- Deploying machine learning models to production
- Writing developer documentation
- Creating and maintaining SDKs
- Showcasing the ability to work with massive datasets, optimize performance, and scale systems to handle high-throughput workloads
- Using Pulumi or Terraform
- Experience working with real-time APIs and voice model integrations (a plus)