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Information Technology 🏒 Full Time ⭐️ Verified

Senior Generative AI Engineer

Apex Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
14 Mei 2026
Deadline
14 Mei 2027

Job Description

We are on a mission to define the technological landscape of the future. Apex Innovations is seeking a visionary Senior Generative AI Engineer to lead our research and development in Large Language Models (LLMs) and multimodal systems. If you are passionate about pushing the boundaries of artificial intelligence and want to engineer the breakthroughs of 2026, we want to hear from you.

In this pivotal role, you will not just build models; you will architect the intelligence that powers the next generation of enterprise solutions. You will work in a high-performance environment where innovation is the currency and your code will shape the future.

Responsibilities

  • Design, train, and deploy state-of-the-art Large Language Models and Generative Adversarial Networks (GANs).
  • Build robust Retrieval-Augmented Generation (RAG) pipelines to enhance model accuracy and reduce hallucinations.
  • Optimize model inference performance for real-time, high-volume production environments.
  • Collaborate with product managers and data scientists to translate complex business requirements into technical AI solutions.
  • Lead code reviews, architecture discussions, and technical mentoring for junior engineers.
  • Stay ahead of the curve in AI research, implementing novel techniques like Reinforcement Learning from Human Feedback (RLHF).

Qualifications

  • Master’s or PhD in Computer Science, Mathematics, or a related field (or equivalent practical experience).
  • 5+ years of experience in software engineering and machine learning, with a focus on Deep Learning.
  • Expert proficiency in Python, PyTorch, or TensorFlow.
  • Strong understanding of NLP, Transformer architectures, and fine-tuning methodologies.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
  • Demonstrated ability to ship complex AI products to market.

Required Skills

Python PyTorch TensorFlow Large Language Models (LLMs) Hugging Face OpenAI API RAG MLOps Machine Learning NLP Transformer Architecture Docker Kubernetes AWS GCP

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