Applied AI Engineer, xAI

Federal, Enterprise

$180-440k

Offers equity

TypeScript
Python
Terraform
Pulumi
Senior and Expert level
San Francisco Bay Area

Office located in Palo Alto, CA

xAI

Building artificial intelligence

Open for applications

xAI

Building artificial intelligence

1001+ employees

B2CB2BArtificial IntelligenceDeep TechMachine Learning

Open for applications

$180-440k

Offers equity

TypeScript
Python
Terraform
Pulumi
Senior and Expert level
San Francisco Bay Area

Office located in Palo Alto, CA

1001+ employees

B2CB2BArtificial IntelligenceDeep TechMachine Learning

Company mission

To build AI systems that can help humanity understand the world better.

Role

Who you are

  • All engineers and researchers are expected to have strong communication skills
  • They should be able to concisely and accurately share knowledge with their teammates
  • 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
  • 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

Desirable

  • 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

What the job involves

  • Applied AI Engineers work directly with our end customers, including federal government and enterprise partners, to own strategy and execution of mission-critical AI solutions
  • This role mirrors the responsibilities of a hands-on AI startup CTO: you’ll collaborate in a small, agile team to deliver high-stakes projects, often in secure or regulated environments
  • 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

Application process

  • 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:
  • Virtual: Coding assessment in a language of your choice
  • In-person: Coding assessment in a language of your choice
  • In-person: Systems hands-on: Demonstrate practical skills in a live problem-solving session
  • Meet and greet with the wider team
  • Our goal is to finish the main process within one week. All interviews will be conducted via Google Meet or in-person

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Company

Company benefits

  • Health and wellness: Comprehensive health insurance including medical, dental, vision, and disability coverage
  • Life and family: Life and AD&D insurance and fertility benefits to ensure our team’s well-being and peace of mind
  • Flexible vacation: We work hard but avoid burn out. Take time off when you need it
  • Visa sponsorship: We support international talent with visa sponsorship to join our team
  • 401(k) plan: Retirement savings plan to secure your financial future

Funding (last 2 of 3 rounds)

Dec 2024

$6bn

SERIES C

May 2024

$6bn

SERIES B

Total funding: $12.1bn

Our take

xAI is Elon Musk's venture into the world of artificial intelligence, and like all things Musk, it's going big. Its setting out to build AI that helps humanity understand the universe and its starting with Grok, its conversational AI chatbot already integrated into X (formerly Twitter). With access to real-time data and a powerful ecosystem of Musk-led companies, xAI is certainly pushing towards artificial general intelligence at serious scale.

Like all bold ventures, xAI has faced its share of controversy, from questions about regulation to the overlap across Musk's businesses. But fans are still seeing the bigger picture: an interconnected tech ecosystem where AI, social media, and space exploration feed into one another.

Recently, the company made headlines with its massive "Colossus" supercomputer project, powered by tens of thousands of Nvidia GPUs. While the data center's temporary power setup has faced environmental scrutiny, the scale of ambition is certainly undeniable. From launching tap-to-pay features on X to building one of the most powerful AI training systems on Earth, xAI is moving fast.

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Steph

Company Specialist at Welcome to the Jungle