- Drive the development and enhancement of the core product and underlying model, while collaborating cross-functionally to deliver end-to-end AI solutions.
- Identifying pain points, scoping product specifications, and designing and building LLM-powered software for government or enterprise use cases.
- Benchmarking models and developing evaluation frameworks to assess performance and address weaknesses, ensuring compliance with customer standards.
- Enhancing model performance through system prompt tuning or fine-tuning, with an eye toward secure and scalable deployment.
- Analyzing request logs, prompt data, or system outputs to ensure reliability and auditability.
- Building internal tooling to streamline workflows and automate repetitive tasks in secure environments.
- Refining xAI SDKs or developer documentation based on customer feedback, with an emphasis on usability for government or enterprise developers.
- BASIC QUALIFICATIONS:
- Government Partnership Experience: Demonstrated success working with government agencies, DoD, or federal contractors on AI, software, or data projects.
- Clearance Preferred: Active U.S. security clearance (e.g., Secret, Top Secret) or eligibility to obtain one is highly desirable.
- 6+ years of software engineering experience, ideally in environments requiring high reliability or security.
- Excellent verbal and written communication skills in English, with experience documenting technical solutions for diverse stakeholders.
- Ability to translate business, product, or mission needs into engineering solutions, particularly for government or enterprise clients.
- Proven experience implementing AI or machine learning products with APIs, back-end systems, and front-end interfaces.
- Proficiency in Python and/or TypeScript.
- Strong understanding of the HTTP protocol and secure API design.
- Robust engineering background, preferably in fields such as Computer Science, Mathematics, Software Engineering, Physics, or Data Science.
- PREFERRED SKILLS AND EXPERIENCE:
- Experience building evaluation frameworks for AI systems and assessing capabilities in regulated or high-stakes contexts.
- Deep understanding of machine learning fundamentals—model evaluation, training, and fine-tuning—with a focus on production-ready deployments.
- History of deploying machine learning models to production, ideally in secure or cloud-based government environments.
- Expertise in writing developer documentation or maintaining SDKs for technical audiences, including government developers.
- Ability to work with massive datasets, optimize system performance, and scale solutions for high-throughput, mission-critical workloads.
- Familiarity with infrastructure-as-code tools like Pulumi or Terraform, particularly in secure or government-aligned deployments.
- A passion for solving complex, real-world problems—particularly those tied to government missions or enterprise objectives—delivering measurable impact through AI.
- Proven ability to ship high-quality, secure code and complete projects in challenging, regulated, or ambiguous environments.
- Adaptability to shifting priorities and requirements in a fast-paced, mission-driven startup setting.
- Exceptional communication skills to interface with customers—including government stakeholders—clarifying technical requirements and driving projects to completion.
- Expertise in designing, implementing, and maintaining robust, scalable, and secure AI-driven solutions that meet stringent compliance and operational standards.
COMPENSATION AND BENEFITS: $180,000 - $440,000 USD
Base salary is just one part of our total rewards package at xAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks. xAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice .