Home Job Details
N
Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Engineer 2026 - San Francisco, CA

Nexus Core Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Join Nexus Core Technologies, a visionary leader in next-generation artificial intelligence, as our Senior AI Engineer. We are on a mission to architect the intelligent systems that will define the digital landscape of 2026 and beyond. If you are passionate about pushing the boundaries of what is possible with machine learning and eager to build scalable, impactful solutions, we want to meet you.

In this role, you will bridge the gap between theoretical research and production-grade engineering, working with a team of top-tier data scientists and engineers to deploy state-of-the-art models.

Responsibilities

  • Model Architecture: Design, train, and fine-tune advanced Large Language Models (LLMs) and computer vision systems tailored for enterprise applications.
  • System Optimization: Implement cutting-edge techniques to optimize model inference latency and reduce operational costs in high-volume cloud environments.
  • MLOps Integration: Build robust CI/CD pipelines and MLOps frameworks to ensure seamless model deployment, monitoring, and retraining workflows.
  • Cross-Functional Collaboration: Partner with product managers and engineers to integrate AI capabilities into consumer-facing products, ensuring user-centric design.
  • R&D Leadership: Conduct rigorous research into emerging AI paradigms, including Generative AI and Autonomous Agents, to maintain a competitive edge.
  • Data Governance: Establish best practices for data privacy, security, and ethical AI usage across all projects.

Qualifications

  • Education: Ph.D. or Master’s degree in Computer Science, Mathematics, Statistics, or a related technical field.
  • Experience: 5+ years of professional experience in Machine Learning, Deep Learning, or AI Engineering.
  • Programming: Proficiency in Python with extensive experience in PyTorch, TensorFlow, or JAX.
  • Tech Stack: Strong understanding of vector databases, Retrieval-Augmented Generation (RAG), and LangChain frameworks.
  • Cloud Expertise: Hands-on experience deploying models on AWS, Azure, or Google Cloud Platform.
  • Communication: Excellent ability to translate complex technical concepts for non-technical stakeholders.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning LLM Generative AI MLOps AWS Cloud Computing RAG Computer Vision Data Science

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