Job Description
Are you ready to architect the future of intelligence?
Apex Horizon AI is at the forefront of the 2026 technology revolution, building next-generation generative AI systems that redefine human-machine interaction. We are looking for a visionary Senior AI Engineer to join our elite team in Austin, TX.
In this role, you won't just maintain models; you will pioneer the architecture for the AI models of tomorrow. If you are passionate about pushing the boundaries of Large Language Models (LLMs), Computer Vision, and predictive analytics, we want to hear from you.
Why Join Us?
- Work on cutting-edge 2026 tech stack.
- Competitive equity package and performance bonuses.
- Flexible remote-first culture with a collaborative Austin hub.
- Access to state-of-the-art compute resources.
Responsibilities
- Architect & Deploy: Design, train, and deploy scalable machine learning models and neural networks for production environments.
- Future Tech Roadmap: Lead the technical strategy for the 2026 AI roadmap, identifying emerging trends in Generative AI and LLMs.
- Optimization: Continuously optimize model inference latency and accuracy to ensure real-time performance at scale.
- Collaboration: Partner with cross-functional product teams to translate complex business requirements into technical AI solutions.
- Mentorship: Guide junior engineers and data scientists, fostering a culture of innovation and technical excellence.
- Data Strategy: Collaborate with data engineering teams to build robust pipelines for high-quality training data.
Qualifications
- Education: Bachelor’s or Master’s degree in Computer Science, Mathematics, Statistics, or a related field (PhD preferred).
- Experience: 5+ years of professional experience in Machine Learning, Deep Learning, or AI engineering.
- Programming: Expert proficiency in Python and experience with ML frameworks (PyTorch, TensorFlow, or JAX).
- Specialization: Proven experience with LLMs, fine-tuning models, and RAG (Retrieval-Augmented Generation) architectures.
- Cloud: Strong familiarity with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
- Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders.