Job Description
Are you ready to define the next generation of Artificial Intelligence?
Nexus Horizon Labs is a pioneer in building autonomous, reasoning-based AI systems. As we gear up for our 2026 roadmap, we are seeking a visionary Senior AI Engineer to lead the development of our flagship Large Language Model (LLM) infrastructure. You will not just be maintaining models; you will be architecting the neural foundations of tomorrow's intelligent applications.
Why join us?
We offer a competitive equity package, flexible remote-first culture, and the opportunity to work on projects that will redefine human-machine interaction.
Responsibilities
- Architect & Deploy: Design and implement scalable inference pipelines for large-scale generative AI models, optimizing for speed and cost efficiency.
- Model Fine-Tuning: Lead the fine-tuning and alignment processes for proprietary LLMs using state-of-the-art techniques like RLHF and DPO.
- Edge AI: Develop lightweight models optimized for edge deployment, ensuring high-performance AI runs on-device without latency.
- MLOps & Infrastructure: Build robust CI/CD pipelines for machine learning, managing the full lifecycle from data ingestion to model serving.
- Cross-Functional Leadership: Collaborate with product managers and data scientists to translate complex AI capabilities into user-centric features.
- R&D: Stay ahead of the curve by researching emerging architectures (e.g., Mamba, MoE) and integrating breakthrough technologies into our core stack.
Qualifications
- Education: MS or PhD in Computer Science, Mathematics, or a related field, or equivalent professional experience.
- Programming: Deep expertise in Python and C++ with strong proficiency in data structures and algorithms.
- Frameworks: Extensive experience with PyTorch, TensorFlow, or JAX.
- AI Specialization: Proven track record of working with LLMs, Transformers, and distributed training systems.
- System Design: Experience designing high-throughput, low-latency systems and familiarity with Kubernetes and cloud infrastructure (AWS/GCP).
- Communication: Ability to articulate complex technical concepts to non-technical stakeholders clearly and persuasively.