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Senior AI Engineer - Generative Models

Apex Systems
San Francisco
Estimated Salary
USD 175.000 – USD 240.000
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Are you ready to architect the next generation of Artificial Intelligence? Apex Systems is seeking a visionary Senior AI Engineer to lead our cutting-edge research initiatives. In this role, you will be at the forefront of developing scalable Large Language Models (LLMs) and generative AI agents that will redefine user interaction with technology.

We are looking for a problem solver who thrives in a fast-paced, high-impact environment and is passionate about pushing the boundaries of what is possible with machine learning.

Responsibilities

  • Design and implement scalable machine learning pipelines using Python, PyTorch, and TensorFlow.
  • Research and deploy state-of-the-art deep learning models for Natural Language Processing (NLP) and computer vision applications.
  • Optimize model inference latency and throughput for production environments.
  • Collaborate with cross-functional teams of data scientists, engineers, and product managers to define AI roadmap.
  • Mentor junior engineers and contribute to a culture of technical excellence and continuous learning.
  • Stay abreast of the latest academic research and industry trends to ensure our technology remains competitive.

Qualifications

  • Master’s degree or Ph.D. in Computer Science, Artificial Intelligence, or a related technical field.
  • 5+ years of professional experience in AI/ML engineering or research.
  • Strong proficiency in deep learning frameworks and distributed computing systems (e.g., Kubernetes, Docker).
  • Proven experience in training, fine-tuning, and deploying large-scale language models.
  • Excellent communication skills with the ability to explain complex technical concepts to non-technical stakeholders.
  • Experience with MLOps tools (MLflow, SageMaker) is a strong plus.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP MLOps Kubernetes Distributed Systems SQL

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