Home Job Details
N
Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Engineer

Nexus Future Tech
San Francisco
Estimated Salary
USD 165.000 – USD 235.000
Live Update
7 Juli 2026
Deadline
7 Jul 2027

Job Description

Are you ready to shape the technological landscape of 2026 and beyond? Nexus Future Tech is seeking a visionary Senior AI Engineer to lead the development of next-generation artificial intelligence systems. In this role, you will not only build robust models but also define the architectural standards for our emerging platforms. Join us in driving innovation at the intersection of data science and real-world application.

We offer a competitive compensation package, comprehensive benefits, and a dynamic environment where your ideas will directly influence the future of our product suite.

Responsibilities

  • Model Development: Design, train, and deploy state-of-the-art machine learning models, with a focus on Generative AI and Large Language Models (LLMs).
  • System Architecture: Design scalable and efficient backend systems to handle high-volume data processing and inference tasks.
  • Cross-Functional Collaboration: Work closely with product managers, data scientists, and engineering teams to translate business requirements into technical solutions.
  • Performance Optimization: Continuously monitor, evaluate, and optimize model performance for latency, accuracy, and resource efficiency.
  • Research & Innovation: Stay abreast of the latest research in AI/ML and implement novel techniques to improve our competitive edge.
  • Mentorship: Guide junior engineers and data scientists, fostering a culture of technical excellence and continuous learning.

Qualifications

  • Experience: 5+ years of professional experience in software engineering and machine learning.
  • Programming: Proficiency in Python, with deep knowledge of frameworks such as PyTorch, TensorFlow, or JAX.
  • Education: Bachelor’s or Master’s degree in Computer Science, Mathematics, Statistics, or a related technical field (PhD preferred).
  • Skills: Strong understanding of NLP, computer vision, or reinforcement learning algorithms.
  • Infrastructure: Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
  • Problem Solving: Exceptional analytical skills with a track record of solving complex, ambiguous technical problems.

Required Skills

Python Machine Learning Deep Learning PyTorch TensorFlow NLP AWS Docker Kubernetes AI Generative AI LLM Data Science San Francisco

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