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Senior AI Engineer: 2026 GenAI Strategy

Nexus Future Systems
San Francisco
Estimated Salary
USD 160.000 – USD 240.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Shape the Future of Intelligence.

We are looking for a visionary Senior AI Engineer to spearhead our 2026 GenAI roadmap. Nexus Future Systems is at the forefront of developing next-generation autonomous agents and generative models that will redefine human-machine interaction. If you are passionate about pushing the boundaries of Large Language Models (LLMs) and scalable AI infrastructure, this is your opportunity to lead a world-class engineering team.

Why Join Us?

β€’ Work on cutting-edge 2026 technology that impacts millions.
β€’ Competitive compensation package and equity.
β€’ Flexible remote-first culture with HQ in the heart of San Francisco.
β€’ Access to state-of-the-art compute clusters and research libraries.

Responsibilities

  • Lead Model Development: Architect and deploy state-of-the-art generative AI models, focusing on fine-tuning and alignment for 2026 standards.
  • Infrastructure Optimization: Design high-throughput, low-latency inference pipelines using distributed computing architectures.
  • Research & Innovation: Stay ahead of the curve on emerging AI trends, including Multimodal AI and Autonomous Agents.
  • Team Leadership: Mentor junior engineers and data scientists, fostering a culture of technical excellence and innovation.
  • Collaboration: Partner with product managers and designers to translate complex AI capabilities into user-friendly features.

Qualifications

  • Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
  • Experience: 5+ years of experience in building and deploying production-level AI models.
  • Technical Skills: Proficiency in Python, PyTorch, TensorFlow, and experience with Hugging Face Transformers.
  • Knowledge: Deep understanding of LLM architecture, Reinforcement Learning from Human Feedback (RLHF), and MLOps practices.
  • Communication: Excellent ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning Generative AI LLM MLOps NLP Reinforcement Learning

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