Job Description
Are you ready to define the future of intelligent systems? Nexus Future Labs is seeking a visionary Senior AI Engineer to spearhead our 2026 Technology Roadmap. In this pivotal role, you will architect the next generation of Large Language Models (LLMs) and generative AI solutions that will redefine industry standards.
We are not just building software; we are building the foundation for the future. If you thrive in a high-performance environment, enjoy solving unsolved problems, and want to leave a legacy in the AI space, we want to meet you.
Why Join Us?
- Work with cutting-edge hardware and proprietary datasets.
- Competitive equity and stock options.
- Flexible remote-first culture with a San Francisco HQ hub.
Responsibilities
- Lead Architecture: Design and implement scalable, state-of-the-art AI infrastructure to support our 2026 strategic vision.
- Model Development: Train, fine-tune, and optimize large-scale transformer models for specific business applications.
- R&D Leadership: Conduct rigorous research on novel algorithms, ensuring our technology remains ahead of the curve.
- System Optimization: Improve inference latency, reduce token costs, and enhance model accuracy through rigorous testing.
- Mentorship: Guide a team of junior engineers and data scientists, fostering a culture of innovation and continuous learning.
- Cross-functional Collaboration: Partner with product managers and engineering teams to translate complex AI capabilities into user-friendly features.
- Ethical AI: Ensure all models adhere to strict safety guidelines and ethical standards in AI deployment.
Qualifications
- Experience: 5+ years of professional experience in AI/ML engineering, specifically with deep learning frameworks (PyTorch, TensorFlow, or JAX).
- Education: Master’s degree or PhD in Computer Science, Mathematics, or a related field is preferred.
- Technical Stack: Proficiency in Python, SQL, and experience deploying models via Docker, Kubernetes, or AWS SageMaker.
- LLM Expertise: Strong background in NLP, Transformers, RAG (Retrieval-Augmented Generation), and fine-tuning techniques.
- Problem Solving: Demonstrated ability to tackle complex mathematical and algorithmic challenges.
- Communication: Excellent written and verbal communication skills with the ability to explain complex technical concepts to non-technical stakeholders.
- Agile Mindset: Experience working in fast-paced, agile development environments.