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Senior Generative AI Engineer

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

Job Description

Are you ready to define the future of technology? Apex Innovations is seeking a visionary Senior Generative AI Engineer to join our elite engineering team. As we pioneer the next generation of intelligent software solutions for 2025 and beyond, you will be at the forefront of building Large Language Models (LLMs) and advanced neural networks. This is an opportunity to work on high-impact projects that redefine user experiences and drive industry innovation.

We are looking for a self-starter who is passionate about the theoretical and practical aspects of machine learning. You will have the autonomy to architect complex systems, mentor junior engineers, and directly influence our product roadmap.

Responsibilities

  • Design, develop, and optimize state-of-the-art Generative AI models and Large Language Models (LLMs) using PyTorch and TensorFlow.
  • Architect scalable MLOps pipelines to handle large-scale data ingestion, training, and deployment in production environments.
  • Collaborate closely with product managers and data scientists to translate business requirements into technical AI solutions.
  • Implement advanced fine-tuning and prompt engineering techniques to enhance model accuracy and reduce hallucinations.
  • Ensure the ethical use of AI by conducting bias audits and adhering to data privacy regulations.
  • Stay ahead of the curve by researching emerging AI trends and integrating cutting-edge methodologies into our stack.

Qualifications

  • PhD or Master’s degree in Computer Science, Mathematics, or a related technical field.
  • 5+ years of professional experience in Deep Learning, Machine Learning, or Natural Language Processing.
  • Strong proficiency in Python, with deep experience in PyTorch or TensorFlow.
  • Extensive knowledge of cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
  • Proven track record of deploying ML models to production at scale.
  • Excellent communication skills and the ability to explain complex technical concepts to non-technical stakeholders.

Required Skills

Python PyTorch TensorFlow AWS GCP Docker Kubernetes MLOps NLP LLM Generative AI Machine Learning Deep Learning

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