Job Description
Step into the future. Nexus Horizon Technologies is seeking a visionary Senior AI Engineer to architect the software infrastructure for 2026 and beyond. In this pivotal role, you will lead the development of next-generation intelligent agents and predictive platforms that redefine industry standards.
We are not just building for today; we are building the foundation for the 2026 technology landscape. You will work with a world-class team to integrate cutting-edge Large Language Models (LLMs) with autonomous decision-making systems.
Why join us?
- Work on forward-thinking projects with a direct impact on the future of tech.
- Competitive compensation package and equity options.
- Flexible remote-first culture with a hub in San Francisco.
- Access to the latest hardware and cloud infrastructure.
Responsibilities
- Architect Autonomous Solutions: Design scalable, distributed systems for AI agents capable of complex, multi-step reasoning and autonomous execution.
- Optimize LLM Pipelines: Engineer high-performance inference pipelines for Large Language Models, focusing on latency reduction and cost-efficiency.
- Predictive Modeling: Develop and train machine learning models that anticipate 2026 market trends and user behaviors.
- Cross-Functional Leadership: Collaborate with product managers and designers to translate futuristic requirements into concrete technical specifications.
- System Integration: Seamlessly integrate AI capabilities into legacy and modern web applications using robust API architectures.
- Code Review & Mentorship: Maintain high code quality standards and mentor junior engineers in advanced AI engineering practices.
Qualifications
- Education: Master’s degree in Computer Science, Artificial Intelligence, or a related quantitative field (PhD preferred).
- Experience: 5+ years of professional experience in software engineering with a focus on Machine Learning and Deep Learning.
- Technical Skills: Proficiency in Python, PyTorch, TensorFlow, and modern cloud platforms (AWS, GCP, or Azure).
- AI Expertise: Deep understanding of Generative AI, NLP, and Vector Databases (e.g., Pinecone, Milvus).
- Problem Solving: Proven track record of solving complex technical challenges in high-scale environments.
- Communication: Excellent ability to communicate complex technical concepts to non-technical stakeholders.