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2026 AI Visionary - Senior Generative AI Engineer - San Francisco, CA

Apex Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Join Apex Future Systems, the pioneer in next-generation artificial intelligence infrastructure. We are building the foundational models for the year 2026 and beyond. If you are a visionary engineer passionate about pushing the boundaries of Large Language Models (LLMs), autonomous agents, and ethical AI, we want you on our team.

We offer a competitive salary, comprehensive health benefits, and equity in a company poised to redefine the tech landscape.

Responsibilities

  • Architect and deploy scalable Large Language Models (LLMs) optimized for 2026 enterprise requirements.
  • Design and implement Retrieval-Augmented Generation (RAG) pipelines to enhance model accuracy and context awareness.
  • Collaborate with cross-functional product teams to translate complex business requirements into cutting-edge AI solutions.
  • Optimize inference latency and throughput for high-volume, low-latency applications.
  • Ensure robust data privacy, security, and ethical compliance in all AI deployments.
  • Mentor junior engineers and contribute to the technical roadmap for our future AI stack.

Qualifications

  • 5+ years of experience in machine learning engineering, with a strong focus on Generative AI.
  • Proficiency in Python, PyTorch, and TensorFlow.
  • Deep understanding of NLP concepts, transformer architectures, and fine-tuning methodologies.
  • Experience with vector databases (Pinecone, Milvus) and cloud infrastructure (AWS, GCP, or Azure).
  • Strong problem-solving skills and the ability to work in a fast-paced, agile environment.
  • Experience with MLOps tools (Docker, Kubernetes, MLflow).

Required Skills

Python PyTorch TensorFlow NLP LLMs Machine Learning MLOps Cloud Computing AWS GCP

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