Job Description
We are at the precipice of the AI revolution. Nexus Future Labs is seeking a visionary Senior AI Engineer to define the technical trajectory of our 2026 roadmap. In this pivotal role, you will architect next-generation generative intelligence models and autonomous agent systems that will redefine industry standards.
Join a world-class team dedicated to pushing the boundaries of Large Language Models (LLMs), reinforcement learning, and scalable inference pipelines. If you are passionate about building the future of technology and want to leave a lasting legacy in the AI landscape, we want to hear from you.
Why Join Us?
- Shape the Future: Directly influence the 2026 product strategy and technical vision.
- Top-Tier Compensation: Competitive salary, equity packages, and comprehensive benefits.
- Cutting-Edge Tech: Work with the latest in PyTorch, TensorFlow, and proprietary hardware.
- Collaborative Culture: A diverse, inclusive environment that fosters innovation and creativity.
Responsibilities
- Architect LLM Systems: Design and implement scalable, high-performance large language model architectures tailored for enterprise-grade applications.
- Agent Development: Lead the research and development of autonomous AI agents capable of complex reasoning and multi-step decision-making.
- Model Optimization: Fine-tune proprietary models and optimize inference latency for real-time production environments.
- MLOps Leadership: Establish robust CI/CD pipelines and monitoring frameworks to ensure model reliability and continuous improvement.
- Data Strategy: Collaborate with data scientists to curate high-quality datasets and establish data governance protocols.
- Technical Mentorship: Guide junior engineers and researchers, fostering a culture of technical excellence and knowledge sharing.
Qualifications
- Education: Master’s or Ph.D. in Computer Science, Mathematics, or a related field (or equivalent practical experience).
- Core Expertise: Deep proficiency in Python and modern machine learning frameworks (PyTorch or TensorFlow).
- Generative AI: Proven experience with LLMs, GANs, or diffusion models, including fine-tuning and RAG (Retrieval-Augmented Generation).
- Production Experience: Demonstrated track record of deploying complex AI models into high-traffic production environments.
- Mathematical Maturity: Strong understanding of linear algebra, calculus, probability, and statistics.
- Communication: Exceptional ability to translate complex technical concepts into clear, actionable insights for stakeholders.