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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Engineer (2024 Cohort)

Nexus Future Systems
San Francisco
Estimated Salary
USD 160.000 – USD 240.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Are you ready to shape the future of Artificial Intelligence?

Nexus Future Systems is seeking a visionary Senior AI Engineer to join our elite team in San Francisco. As a leader in Generative AI and Large Language Models, we are building the infrastructure that will define the next decade of technology. You will work at the intersection of research and production, deploying scalable models that impact millions of users worldwide.


Why Join Us?

We offer a competitive compensation package, comprehensive benefits, and the opportunity to work on cutting-edge projects that push the boundaries of what's possible in 2024.

Responsibilities

  • Model Development: Design, train, and fine-tune advanced Large Language Models (LLMs) and neural networks to solve complex business problems.
  • Production Deployment: Engineer scalable MLOps pipelines using AWS/GCP to deploy models into high-traffic production environments with low latency.
  • Data Engineering: Collaborate with data scientists to curate high-quality datasets and implement data preprocessing strategies.
  • Performance Optimization: Continuously monitor model performance, conduct A/B testing, and optimize inference speed and accuracy.
  • Research: Stay at the forefront of AI research, publishing papers or presenting at conferences to drive innovation within the organization.
  • Mentorship: Lead a team of junior engineers and data scientists, fostering a culture of technical excellence and continuous learning.

Qualifications

  • Education: MS or PhD in Computer Science, Machine Learning, or a related quantitative field.
  • Experience: 5+ years of professional experience in AI/ML engineering, with a proven track record of deploying production-grade models.
  • Technical Skills: Strong proficiency in Python, PyTorch, TensorFlow, and SQL.
  • Cloud Expertise: Deep understanding of cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
  • Problem Solving: Exceptional ability to debug complex issues and optimize system architectures for scalability.
  • Communication: Excellent verbal and written communication skills for technical documentation and stakeholder presentations.

Required Skills

Python TensorFlow PyTorch AWS MLOps Machine Learning Deep Learning NLP SQL Docker Kubernetes

Ready to Take This Challenge?

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

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