About the position
As a Forward Deployed Product Engineer in the GTM (Go-To-Market) team, you will work on critical product integrations for our most important partners and other high-impact initiatives, owning strategy and execution alongside our end customers. This senior-level role combines hands-on technical expertise with a startup-like mindset, akin to an AI startup CTO. You’ll operate within a small, dynamic team to deliver high-stakes projects. A day’s work may include: 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.
Responsibilities
- Deliver solutions end-to-end that meet customer needs.
- Work on frontend/backend integration for an exceptional end-user experience.
- Add logging/metrics for user activity and retention.
- Benchmark models or help write evals for customers.
- Improve model performance through system prompt tuning or fine-tuning models.
- Analyze request logs or read through prompt data.
- Fix miscellaneous API bugs encountered in the wild.
- Build internal tooling to automate repetitive tasks.
- Improve xAI SDKs or developer documentation based on customer feedback.
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.
Nice-to-haves
- 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.
Benefits
- Competitive cash-based compensation.
- xAI equity.
- Private health and dental insurance.
- Unlimited time off subject to prior approval.
