Job Description
We are on a mission to architect the technological landscape of 2026. Nexus Future Systems is seeking a visionary Senior AI Engineer to lead the development of next-generation generative models and autonomous agents. You will be at the forefront of defining how Artificial Intelligence integrates into enterprise ecosystems, ensuring scalability, safety, and unprecedented performance.
Join a team of elite engineers and researchers dedicated to pushing the boundaries of what is possible in AI. We offer a competitive compensation package, equity options, and the opportunity to shape the future of technology.
Responsibilities
- Architect LLM Pipelines: Design and deploy scalable, production-ready Large Language Model (LLM) architectures optimized for high-throughput inference.
- Research & Innovation: Spearhead research initiatives into emerging AI paradigms, including multi-modal learning and agentic workflows for 2026.
- Model Optimization: Implement techniques such as quantization, pruning, and distillation to reduce latency and improve cost-efficiency.
- Technical Leadership: Mentor a team of junior data scientists and engineers, conducting code reviews and fostering a culture of technical excellence.
- Collaboration: Work closely with product managers and stakeholders to translate complex AI capabilities into tangible business value.
- Security & Ethics: Implement robust guardrails and safety protocols to ensure AI outputs are aligned with ethical standards and regulatory requirements.
Qualifications
- Education: Master’s or PhD in Computer Science, Mathematics, or a related field (or equivalent practical experience).
- Experience: 5+ years of professional experience in Machine Learning, Natural Language Processing (NLP), or Deep Learning.
- Technical Skills: Proficiency in Python, PyTorch, or TensorFlow. Deep understanding of transformer architectures (BERT, GPT, etc.).
- Deployment: Proven track record of deploying ML models to production environments using tools like Kubernetes, Docker, and cloud platforms (AWS/GCP/Azure).
- Problem Solving: Strong analytical skills with a focus on solving complex optimization problems in high-scale environments.
- Communication: Excellent verbal and written communication skills, capable of explaining complex technical concepts to non-technical audiences.