Home Job Details
A
Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Engineer

Apex Systems
San Francisco
Estimated Salary
USD 160.000 – USD 240.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Are you ready to architect the future of intelligence? Apex Systems is looking for a visionary Senior AI Engineer to join our elite team in San Francisco. In this pivotal role, you will lead the development of next-generation machine learning systems that power our global platforms.


We are not just building software; we are building the cognitive layer of the digital economy. You will have the autonomy to define technical strategies, mentor junior engineers, and deploy models that redefine user experiences. If you are passionate about Large Language Models (LLMs), Generative AI, and scalable architecture, this is your opportunity to make a significant impact.

Responsibilities

  • Design, train, and deploy state-of-the-art deep learning models, with a focus on LLMs and NLP applications.
  • Architect robust MLOps pipelines to manage the full lifecycle of machine learning models from experimentation to production.
  • Collaborate closely with product managers and data scientists to translate complex business requirements into elegant technical solutions.
  • Optimize model inference latency and ensure high availability across distributed cloud environments.
  • Conduct rigorous code reviews and technical mentoring to foster a culture of engineering excellence.

Qualifications

  • Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
  • 5+ years of experience in AI/ML engineering, with at least 2 years in a lead or senior capacity.
  • Expert proficiency in Python, PyTorch, TensorFlow, and modern data science libraries.
  • Strong experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
  • Deep understanding of LLM fine-tuning, RAG architectures, and prompt engineering techniques.

Required Skills

Python PyTorch TensorFlow AWS Machine Learning MLOps LLM Docker Kubernetes Natural Language Processing

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