Software Engineer, X Product

xAI•Palo Alto, CA

49d

About The Position

About xAI xAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All engineers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. About the Role As a Software Engineer for X Product, you will play a key role in developing and launching groundbreaking features and tools. This is a unique opportunity to contribute to 0-1 product launches at one of the leading AI labs, while also working on a variety of other initiatives where Grok can enhance, automate, and accelerate processes across the company.

Requirements

2+ years of professional software engineering experience, ideally in AI-driven applications.
Hands-on expertise in Python and machine learning frameworks.
Proficiency with large language models (LLMs), retrieval-augmented generation (RAG), and graph-based AI techniques.
Experience integrating AI models like Grok into complex workflows, such as document analysis, automation tools, and experimental prototypes.
Proven track record of building tools or features from scratch, iterating with product teams, and demonstrating end-to-end ownership.

Nice To Haves

Background in early-stage startups or as a founding engineer is highly desirable, with a focus on rapid prototyping, user-centric design, and solving real-world problems through AI.

Responsibilities

Rapidly prototyping and building software to improve, automate, or speed up various internal processes and products.
Collaborating on experimental features and tools where AI can deliver transformative impact, from enhancing user experiences to optimizing workflows in engineering, operations, and beyond.
Iterating quickly based on feedback, with a strong emphasis on creating seamless, intuitive user interfaces and experiences.