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Information Technology 🏢 Full Time ⭐️ Verified

Senior Generative AI Engineer

Nebula Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

We are at the precipice of a technological revolution.

At Nebula Systems, we aren't just building software; we are crafting the intelligence that will define the 2026 era. We are looking for a Senior Generative AI Engineer to lead our cutting-edge research division. In this pivotal role, you will architect the next generation of Large Language Models (LLMs) and ensure our AI solutions are scalable, efficient, and transformative. Join us in building the future of human-computer interaction.

Responsibilities

  • Architect and deploy scalable Large Language Model (LLM) solutions using PyTorch and TensorFlow.
  • Implement and optimize Retrieval-Augmented Generation (RAG) pipelines to enhance knowledge accuracy.
  • Conduct cutting-edge research to fine-tune pre-trained models for specific industry applications.
  • Reduce model inference latency and computational costs through aggressive optimization techniques.
  • Collaborate closely with product and engineering teams to translate complex AI capabilities into intuitive user features.
  • Mentor junior engineers and establish best practices for AI development and deployment.

Qualifications

  • PhD or MS in Computer Science, Machine Learning, or a related technical field (or equivalent practical experience).
  • 5+ years of professional experience in Deep Learning and Natural Language Processing (NLP).
  • Expert proficiency in Python, PyTorch, and TensorFlow.
  • Strong hands-on experience with Hugging Face Transformers and OpenAI API integrations.
  • Deep understanding of MLOps, Docker, Kubernetes, and cloud infrastructure (AWS/GCP/Azure).
  • Proven track record of shipping production-grade AI applications.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP LLM GPT BERT API Development Cloud Computing Docker Kubernetes MLOps

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