Top AI Jobs in Austin, TX

Review and improve AI-generated HTML markup, ensuring it meets semantic, accessibility, and structural standards. Communicate findings clearly.

As an AI Tutor for Bash, you will improve AI-generated code, review Bash scripts, solve automation tasks, and summarize processes. You require strong Bash expertise and a deep interest in AI and automation.

As an AI Tutor at Alignerr, you will review LPC code, solve programming challenges, and improve AI-generated code while ensuring compliance with LPC syntax.

As an AI Tutor for Zig, you'll enhance AI-generated code, ensuring it meets safety and performance standards, while solving systems-level issues.

As an AI Tutor for Svelte, you'll review and improve AI-generated Svelte code, identify issues, and clearly communicate your solutions.

As an AI Tutor, you will review Shell scripts for efficiency, solve automation tasks, and improve AI-generated code for Shell compliance.

The role involves reviewing Lua code, solving scripting challenges, and improving AI-generated code for better performance and readability.

Review and improve AI-generated Dart code, solve development issues, and communicate effectively while maintaining code quality and efficiency.

Lead the Agentic AI Pod to develop and implement AI strategies and products that enhance event marketing workflows and user experiences.

As VP of Engineering and AI Innovations, lead software development for AI products, enhance features, and manage product evolution in a team-first culture.

Develop AI agents leveraging large language models, integrate external tools, and ensure production-ready AI features while collaborating across teams.

As a Senior/Staff AI Software Engineer, you will design and build scalable backend services, lead technical projects, mentor engineers, and engage with clients, utilizing technologies like Python and FastAPI.

As a Staff Full-Stack Engineer, you will lead the development of AI-powered healthcare systems, collaborate with product teams, and mentor engineers while ensuring safety and quality standards are upheld.

The AI Engagement Manager will drive customer adoption of AI solutions, partner with customer teams, and translate goals into successful outcomes.

As a Junior Customer Support Specialist, you'll handle customer inquiries via phone, email, and chat, provide support and product guidance, and assist with onboarding and feedback collection.

Address customer inquiries via phone, email, and live chat, advise on software use, and contribute to the support knowledge base.

Lead cross-functional GTM initiatives focusing on business model expansion and sales effectiveness, collaborating across diverse teams to drive execution and measurable results.

Lead and develop a team in creating AI/ML solutions for transforming communications in real estate. Drive strategy and implementation of new Generative AI solutions.

Design and build production-grade AI systems, translating real-world problems into scalable AI-driven solutions while mentoring engineers and shaping technical strategy.

Own product roadmap, define product requirements, and work with engineering teams to develop AI-driven cybersecurity solutions, ensuring usability and security.

As a Machine Learning Engineer, you'll build AI solutions from structured leadership data, develop RAG-based agents, and enhance the Leadership Intelligence Platform, focusing on efficiency and collaboration with research partners.

The Fullstack AI Engineer will build AI-driven learning features, collaborate with cross-functional teams, and rapidly prototype new ideas utilizing Generative AI.

Lead the development of Big Data solutions and machine learning systems, mentor engineers, and maintain high standards of engineering excellence.

The role involves architecting scalable backend systems for real-time evaluations, integrating with streaming data, and building intervention layers for AI applications. You'll design frameworks and operationalize vector databases while ensuring low-latency service performance.

The Research Engineer will develop the DeOS framework, optimizing AI workloads, managing GPU resources, ensuring scalability, and contributing to open-source projects.