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Information Technology 🏢 Full Time ⭐️ Verified

Senior Generative AI Engineer

Apex Horizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

We are seeking a visionary Senior Generative AI Engineer to pioneer the next generation of artificial intelligence at Apex Horizon Labs. In this role, you will be at the forefront of the AI revolution, designing and deploying state-of-the-art Large Language Models (LLMs) and generative architectures that define the future of human-computer interaction.

You will work in a high-performance environment where innovation is not just encouraged—it is the standard. If you are passionate about ethical AI, scalable systems, and building intelligent agents that can reason and create, we want to hear from you.

Responsibilities

  • Architect & Deploy: Design and implement scalable Generative AI pipelines using modern frameworks like PyTorch and TensorFlow.
  • Model Optimization: Fine-tune and optimize LLMs for specific use cases, ensuring high throughput and low latency in production environments.
  • RAG & Agents: Build and maintain Retrieval-Augmented Generation (RAG) systems and autonomous AI agents.
  • Research & Innovation: Stay ahead of the curve by integrating cutting-edge research from top conferences (NeurIPS, ICML) into our product roadmap.
  • Ethical AI: Implement guardrails and safety protocols to ensure responsible AI deployment and mitigate bias.
  • Collaboration: Partner with product managers, engineers, and designers to translate complex AI capabilities into user-friendly applications.

Qualifications

  • Education: Master’s or Ph.D. in Computer Science, Machine Learning, or a related quantitative field.
  • Experience: 5+ years of experience in Deep Learning, Natural Language Processing (NLP), or Generative AI.
  • Technical Stack: Proficiency in Python, PyTorch, Hugging Face Transformers, and distributed computing frameworks.
  • Domain Knowledge: Deep understanding of Transformer architectures, prompt engineering, and fine-tuning methodologies (LoRA, QLoRA).
  • Problem Solving: Strong ability to troubleshoot complex model architectures and optimize for edge cases.
  • Communication: Excellent verbal and written communication skills for technical documentation and stakeholder presentations.

Required Skills

Python PyTorch TensorFlow Hugging Face NLP Large Language Models LLMs Machine Learning Deep Learning RAG Generative AI AI Engineering

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