Job Description
Welcome to the future of innovation. Nexus Future Systems is pioneering the next generation of intelligent applications. We are seeking a visionary Senior AI Engineer to join our elite team and define the roadmap for our 2026 and beyond initiatives.
In this role, you will not just build models; you will architect the cognitive infrastructure of tomorrow. You will work at the intersection of Deep Learning, Natural Language Processing, and Large Language Models (LLMs). If you are passionate about pushing the boundaries of what is possible in artificial intelligence and want to shape the industry standards for the next decade, we want to hear from you.
Why Join Us?
• Work on cutting-edge Generative AI projects.
• Competitive compensation and equity package.
• Flexible remote-first policy with access to state-of-the-art labs in SF.
• Continuous learning budget for conferences and certifications.
Responsibilities
- Architect & Deploy: Design, train, and deploy state-of-the-art Generative AI models and Large Language Models (LLMs) for production environments.
- Optimization: Optimize model inference latency and reduce computational costs using quantization and model distillation techniques.
- Research: Stay ahead of the curve by researching novel architectures, including Multimodal AI and Autonomous Agents.
- Collaboration: Partner with product managers and software engineers to integrate AI capabilities into scalable web and mobile applications.
- Ethics & Safety: Implement guardrails and safety protocols to ensure AI outputs are unbiased, safe, and compliant with emerging regulations.
- Mentorship: Mentor junior data scientists and engineers, fostering a culture of technical excellence and innovation.
Qualifications
- Education: Master’s or PhD in Computer Science, Mathematics, or a related field with a focus on AI/ML.
- Experience: 5+ years of professional experience in Machine Learning, Deep Learning, or Natural Language Processing.
- Technical Stack: Proficiency in Python, PyTorch, TensorFlow, or JAX. Hands-on experience with Hugging Face Transformers and LangChain.
- Infrastructure: Strong experience with MLOps tools (Docker, Kubernetes, AWS SageMaker) and cloud infrastructure (GCP/AWS).
- Problem Solving: Demonstrated ability to tackle complex problems in unstructured data environments.
- Communication: Excellent written and verbal communication skills to translate complex technical concepts to non-technical stakeholders.