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Information Technology 🏢 Full Time ⭐️ Verified

Generative AI Systems Lead

Nexus Future Systems
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Are you ready to define the future of Artificial Intelligence in 2026? Nexus Future Systems is seeking a visionary Generative AI Systems Lead to architect the next generation of autonomous agents and large-scale language models. In this pivotal role, you will bridge the gap between theoretical research and production-grade deployment, ensuring our systems are scalable, ethical, and transformative.

We are looking for a pioneer who thrives in ambiguity and is obsessed with the potential of Synthetic Data, Multi-modal AI, and Real-time Decision Engines. If you are passionate about building the digital brain of tomorrow, this is your opportunity to lead from the front.

Responsibilities

  • Design and implement scalable architectures for state-of-the-art Generative AI models and autonomous agents.
  • Oversee the entire machine learning lifecycle, from data ingestion and synthetic data generation to model training and deployment.
  • Lead a team of data scientists and AI engineers in pushing the boundaries of NLP and Computer Vision.
  • Ensure model transparency, fairness, and safety through rigorous testing and compliance with emerging AI regulations.
  • Collaborate with product managers to translate complex AI capabilities into user-centric features.

Qualifications

  • 10+ years of experience in software engineering, with at least 5 years specifically in AI/ML architecture.
  • Deep proficiency in Python, PyTorch, TensorFlow, and modern LLM frameworks (Hugging Face, LangChain).
  • Strong understanding of MLOps, cloud infrastructure (AWS/GCP/Azure), and containerization technologies.
  • Experience with Generative Adversarial Networks (GANs), Diffusion Models, or similar advanced generative techniques.
  • Excellent problem-solving skills and the ability to mentor senior engineers.

Required Skills

Generative AI LLMs Python PyTorch MLOps AWS Cloud Architecture Machine Learning NLP Data Science

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