Home Job Details
N
Information Technology 🏒 Full Time ⭐️ Verified

Senior AI/LLM Engineer

Nexus Horizon
San Francisco
Estimated Salary
USD 160.000 – USD 240.000
Live Update
11 Mei 2026
Deadline
11 Mei 2027

Job Description

We are a next-generation technology firm pioneering the future of Generative AI and machine learning. We are looking for a visionary Senior AI Engineer to join our elite team in San Francisco. In this role, you will architect the next generation of intelligent systems that will define the landscape of 2026 and beyond. You will work directly with our research team to push the boundaries of Large Language Models (LLMs) and deploy scalable, high-performance AI solutions.

Why Join Us?

  • Work on cutting-edge projects that have a global impact.
  • Competitive compensation package and equity options.
  • Flexible remote-first culture with a state-of-the-art office in SF.

If you are passionate about the future of technology and possess deep expertise in AI architecture, we want to hear from you.

Responsibilities

  • Model Development: Design, train, and fine-tune large language models and generative AI models using state-of-the-art architectures.
  • System Architecture: Architect robust and scalable MLOps pipelines for model training, validation, and deployment.
  • Optimization: Optimize model inference speed and reduce latency for real-time applications.
  • Research: Stay abreast of the latest advancements in the AI field and implement novel techniques into production systems.
  • Cross-Functional Collaboration: Partner with product managers and software engineers to integrate AI capabilities seamlessly into user-facing products.
  • Code Review & Mentorship: Lead code reviews and mentor junior data scientists and engineers on best practices.

Qualifications

  • Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
  • Experience: 5+ years of experience in AI/ML engineering with a focus on deep learning.
  • Technical Skills: Proficiency in Python, PyTorch, or TensorFlow. Experience with Hugging Face, LangChain, and vector databases (Pinecone, Weaviate).
  • MLOps: Strong understanding of cloud platforms (AWS/GCP/Azure) and containerization (Docker/Kubernetes).
  • Communication: Excellent written and verbal communication skills with the ability to explain complex technical concepts to non-technical stakeholders.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning MLOps Docker Kubernetes AWS Generative AI LLM Large Language Models

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