Artificial Intelligence Engineer, xAI

• Deep expertise in solving enterprise voice AI challenges, delivering robust and scalable voice-driven solutions
• Proven ability to ship high-quality code and complete voice AI projects in demanding environments
• Ability to handle ambiguity, adapt to evolving requirements, and prioritize effectively in a fast-paced startup setting
• Exceptional communication skills to clarify voice-specific requirements with customers and drive projects to successful completion
• Emphasis on designing, implementing, and maintaining efficient voice AI architectures, including speech-to-text, text-to-speech, and real-time voice processing
• Proficiency in managing complex codebases and optimizing voice data pipelines for high-throughput, low-latency performance
• Define critical benchmarks for Voice AI performance: Establish key performance benchmarks tailored to enterprise voice use cases, such as speech recognition accuracy, natural language understanding, and real-time latency, reflecting customer prompt distributions
• Initiate human data collection for Voice AI: Design and manage campaigns to acquire high-quality voice and conversational data from diverse enterprise contexts, supporting model training and validation
• Drive Voice AI integration with enterprise partners: Collaborate with cross-functional teams to integrate Voice AI capabilities into enterprise workflows, enabling seamless adoption in areas like customer service, virtual assistants, and telephony systems
• Strong engineering background
• Experience interfacing between technical and customer-facing teams
• Excellent verbal and written communication skills in English
• Ability to translate business and voice-specific product needs into technical solutions
• Proven experience implementing voice AI or machine learning products, including APIs, back-end, and front-end voice interfaces
• Strong proficiency in Python and/or TypeScript
• Solid understanding of HTTP protocol and real-time communication protocols (e.g., WebRTC)

Desirable

• You will work directly with our enterprise customers, owning the strategy and execution of Voice AI solutions. You’ll act as a specialized AI startup CTO, focusing on voice-driven technologies, leading high-stakes projects, and delivering measurable impact.
• If you excel at combining deep technical expertise with customer-focused innovation, particularly in the Voice AI domain, we’d love to hear from you. Your day-to-day work may include:
• Designing and building end-to-end Voice AI solutions, from understanding customer pain points to scoping product specs and deploying LLM-powered voice interfaces
• Benchmarking voice models, writing evaluations, or analyzing performance to identify weaknesses in speech recognition, synthesis, or natural language understanding
• Improving model performance through system prompt tuning, fine-tuning voice-specific models, or optimizing for low-latency voice interactions
• Analyzing voice request logs, prompt data, or audio inputs to enhance system accuracy and user experience
• Building internal tools to automate voice AI workflows, such as transcription pipelines or real-time voice processing
• Enhancing xAI’s Voice AI SDKs or developer documentation based on customer feedback and enterprise use cases

• After submitting your application, our team reviews your CV and Statement of Exceptional Work. If selected, you’ll be invited to a 15-minute technical phone interview where we’ll discuss your background and voice AI specialization. Successful candidates proceed to the main process:
• 15 min Technical Screen
• 2x 45 min Coding Interview (focused on voice AI or related challenges)
• We aim to complete the main process within one week. All applications are reviewed by our technical team, not recruiters. Interviews are conducted via Google Meet or in-person