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Artificial Intelligence 🏒 Full Time ⭐️ Verified

Senior Generative AI Engineer

Apex Cognitive Systems
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
13 Mei 2026
Deadline
13 Mei 2027

Job Description

We are seeking a visionary Senior Generative AI Engineer to lead the next evolution of our proprietary Large Language Model (LLM) suite. At Apex Cognitive Systems, we are building the intelligence layer for the enterprise of 2026. If you are passionate about pushing the boundaries of what is possible with Transformers, Reinforcement Learning from Human Feedback (RLHF), and autonomous agents, we want to hear from you.

In this role, you will bridge the gap between cutting-edge research and production-grade deployment, ensuring our AI models are not only accurate but also safe, efficient, and scalable.

Why join us?

  • Work on the frontier of Generative AI in the heart of Silicon Valley.
  • Competitive equity package and comprehensive benefits.
  • Flexible remote-first culture with quarterly in-person innovation sprints.

Responsibilities

  • Model Development: Design, train, and fine-tune large-scale generative models using state-of-the-art architectures (e.g., GPT-4, Llama 3, Claude).
  • Optimization: Optimize inference pipelines for low-latency and high-throughput environments using techniques like quantization, pruning, and distillation.
  • RAG Architecture: Architect and implement Retrieval-Augmented Generation (RAG) systems to enhance factual accuracy and reduce hallucinations.
  • Evaluation & Safety: Establish rigorous evaluation frameworks and safety guardrails to ensure model compliance and ethical AI usage.
  • Collaboration: Partner with product managers and designers to translate technical requirements into seamless user experiences.

Qualifications

  • Education: Master’s or PhD in Computer Science, Machine Learning, or a related quantitative field.
  • Experience: 5+ years of professional experience in NLP, Deep Learning, or Generative AI.
  • Technical Stack: Proficiency in Python, PyTorch, TensorFlow, and Hugging Face Transformers.
  • Deployment: Strong experience deploying models to cloud infrastructure (AWS, GCP, or Azure) using Kubernetes and Docker.
  • Language: Native or fluent English proficiency with technical writing skills.

Required Skills

Python PyTorch TensorFlow NLP Large Language Models (LLMs) Hugging Face RAG Machine Learning Kubernetes Docker AWS GCP Generative Adversarial Networks (GANs) Reinforcement Learning

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

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