Job Description
The Future of Intelligence is Here.
Nexus Horizon Labs is at the forefront of defining the technological landscape for 2026. We are looking for a visionary Senior AI Engineer to lead our advanced research division. If you are passionate about pushing the boundaries of Generative AI, Quantum Computing, and Sustainable Machine Learning, this is your opportunity to architect the future.
In this role, you won't just be maintaining legacy systems; you will be building the infrastructure that powers the next generation of human-computer interaction. We value bold ideas, technical excellence, and a deep commitment to ethical AI development.
Why Join Us?
- Work on high-impact projects that define the 2026 tech roadmap.
- Competitive salary and equity package.
- Flexible remote-first culture.
- Access to cutting-edge hardware and cloud resources.
Responsibilities
- Architect 2026-Ready AI Systems: Design and implement scalable neural network architectures that align with emerging trends in predictive AI and autonomous agents.
- Lead Model Training & Optimization: Spearhead the training pipelines for Large Language Models (LLMs) and ensure they are optimized for low-latency inference on edge devices.
- R&D Collaboration: Work closely with our Quantum Research team to integrate classical AI with quantum algorithms for next-gen problem solving.
- Code Review & Mentorship: Establish rigorous code standards and mentor a team of junior engineers and data scientists.
- Performance Tuning: Continuously monitor and improve model accuracy, throughput, and resource efficiency.
- Technical Strategy: Contribute to the strategic roadmap for AI tools, ensuring alignment with business goals and 2026 industry standards.
Qualifications
- Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
- Experience: 5+ years of professional experience in AI/ML engineering, with at least 2 years in a lead or senior capacity.
- Technical Stack: Deep proficiency in Python, PyTorch, or TensorFlow. Experience with Hugging Face Transformers and LangChain is a plus.
- Cloud Expertise: Strong background deploying models on AWS, GCP, or Azure using Docker and Kubernetes.
- Problem Solving: Demonstrated ability to troubleshoot complex mathematical and algorithmic challenges.
- Communication: Excellent verbal and written communication skills for presenting technical concepts to non-technical stakeholders.