Home Job Details
N
Information Technology 🏒 Full Time ⭐️ Verified

Senior Generative AI Engineer

Nexus Horizon Solutions
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
5 Juni 2026
Deadline
5 Jun 2027

Job Description

Join the Pioneers of the 2026 Era

Nexus Horizon Solutions is on a mission to redefine the technological landscape. As we gear up for the transformative year of 2026, we are seeking a visionary Senior Generative AI Engineer to lead our next-generation artificial intelligence initiatives. You will be at the forefront of building the intelligent systems that will power the enterprise of tomorrow.

In this role, you will bridge the gap between theoretical machine learning breakthroughs and scalable, production-ready applications. If you are passionate about the future of AI, possess deep technical expertise, and want to shape the trajectory of human-computer interaction, we want to hear from you.

Why Join Us?

  • Work on cutting-edge projects that define the AI standard for 2026.
  • Competitive compensation package with performance-based equity grants.
  • Flexible remote-first culture with headquarters in the heart of San Francisco.

Key Responsibilities:

Responsibilities

  • Design, train, and deploy state-of-the-art Generative AI models (LLMs) tailored for enterprise use cases.
  • Optimize model inference and fine-tuning pipelines to ensure high performance and low latency.
  • Collaborate with cross-functional teams to integrate AI capabilities into core product features.
  • Establish best practices for data governance, model evaluation, and ethical AI implementation.
  • Mentor junior engineers and contribute to the technical roadmap for future AI development.
  • Research and prototype emerging technologies to stay ahead of industry trends.

Qualifications:

Qualifications

  • 5+ years of professional experience in Machine Learning, Deep Learning, or NLP engineering.
  • Expert proficiency in Python, PyTorch, TensorFlow, or JAX.
  • Deep understanding of Large Language Models (LLMs), Transformers, and RAG architectures.
  • Experience with MLOps tools, containerization (Docker/Kubernetes), and cloud platforms (AWS/GCP/Azure).
  • Strong background in statistical analysis and algorithm design.
  • Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related technical field.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP LLM RAG MLOps Docker Kubernetes AWS GCP Artificial Intelligence San Francisco California

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

Apply Now

Related Jobs

Similar job recommendations for you

View All