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Information Technology 🏒 Full Time ⭐️ Verified

Senior Generative AI Engineer (2026 Vision)

Nexus Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

We are building the infrastructure for tomorrow. As a Senior Generative AI Engineer, you will be at the forefront of defining how artificial intelligence evolves beyond 2025. Our mission is to create autonomous, self-correcting agents that integrate seamlessly into enterprise ecosystems.

Join a team of world-class researchers and engineers dedicated to solving the hardest problems in Neuromorphic Computing and Large Language Models (LLMs). You will have the autonomy to experiment with cutting-edge architectures and shape the future of human-computer interaction.

Why join us?

  • Work on projects that define the standard for AI in 2026 and beyond.
  • Competitive equity package and remote-first flexibility.
  • Access to top-tier hardware and research resources.

Responsibilities

  • Design and implement Agentic AI workflows capable of complex multi-step reasoning and autonomous tool usage.
  • Optimize transformer models for high-throughput inference on edge devices using advanced quantization and pruning techniques.
  • Develop and evaluate novel prompt engineering strategies to improve model alignment and safety in dynamic environments.
  • Collaborate with cross-functional teams to integrate AI capabilities into consumer and enterprise products.
  • Contribute to the open-source community by releasing benchmarks and datasets for the next generation of AI models.
  • Research and prototype integration of Quantum Neural Networks with classical deep learning architectures.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Mathematics, or a related field.
  • 5+ years of professional experience in Deep Learning, Natural Language Processing, or Reinforcement Learning.
  • Strong proficiency in Python, PyTorch, or TensorFlow.
  • Deep understanding of Transformer architectures, attention mechanisms, and diffusion models.
  • Experience deploying large-scale models on cloud infrastructure (AWS, GCP, or Azure).
  • Familiarity with ethical AI principles, bias mitigation, and responsible AI governance.
  • Demonstrated ability to lead technical projects and mentor junior engineers.

Required Skills

Python PyTorch TensorFlow Transformers LLMs NLP Reinforcement Learning Agentic AI Edge Computing Cloud Infrastructure Machine Learning Engineering

Ready to Take This Challenge?

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