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Senior AI Engineer (Generative AI)

Nexus Future Tech
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
23 Mei 2026
Deadline
23 Mei 2027

Job Description

Shape the Future of Intelligence with Nexus Future Tech

We are seeking a visionary Senior AI Engineer to join our elite R&D team in San Francisco. As a leader in the Generative AI space, Nexus is building the next generation of autonomous agents and Large Language Models (LLMs). You will have the opportunity to work on cutting-edge projects that redefine human-computer interaction.

Why Join Us?

At Nexus Future Tech, we don't just follow trends; we set them. Our team is a diverse collective of data scientists, researchers, and engineers dedicated to pushing the boundaries of what's possible in AI.

What You Will Do

In this role, you will be responsible for designing, training, and deploying robust machine learning systems at scale. You will collaborate with cross-functional teams to integrate AI solutions into our core products.

Responsibilities

  • Design and implement state-of-the-art deep learning models, specifically focusing on Transformer architectures and Generative AI.
  • Optimize model inference performance and reduce latency for real-time applications.
  • Collaborate with data engineers to build and maintain scalable data pipelines for training and fine-tuning models.
  • Conduct research to stay abreast of the latest advancements in NLP, Computer Vision, and Reinforcement Learning.
  • Document technical architecture and provide guidance to junior engineers and data scientists.
  • Mentor team members and contribute to the technical vision of the AI division.

Qualifications

  • Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related technical field.
  • Proven experience (5+ years) building and deploying production-grade AI/ML models.
  • Strong proficiency in Python, PyTorch, TensorFlow, or JAX.
  • Deep understanding of Machine Learning principles, including NLP, LLMs, and RAG (Retrieval-Augmented Generation).
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
  • Excellent problem-solving skills and the ability to work in a fast-paced, agile environment.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP LLMs AWS Docker Kubernetes GCP

Ready to Take This Challenge?

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