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Information Technology 🏒 Full Time ⭐️ Verified

Senior Generative AI Engineer (2026)

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

Are you ready to architect the future of intelligence? Nexus Future Labs is seeking a visionary Senior Generative AI Engineer to spearhead the development of next-generation Large Language Models (LLMs) and autonomous agents. In this pivotal role, you won't just build models; you will define the architectural landscape of AI for the year 2026 and beyond.

Join a team of elite engineers and researchers pushing the boundaries of what's possible in artificial general intelligence. You will work on cutting-edge projects that require deep expertise in deep learning, NLP, and scalable infrastructure. If you are passionate about the future of technology and want to build systems that can reason, create, and adapt, we want to meet you.

Why Join Us?

  • Work on groundbreaking technology that will define the AI landscape.
  • Competitive compensation and equity package.
  • Flexible remote-first culture with premium office amenities in San Francisco.

Responsibilities

  • Design, train, and fine-tune state-of-the-art Generative AI models using PyTorch and TensorFlow.
  • Optimize model inference for real-time, high-volume applications and edge devices.
  • Lead the architecture of Retrieval-Augmented Generation (RAG) systems to enhance accuracy.
  • Collaborate with cross-functional teams of data scientists, product managers, and designers.
  • Implement rigorous testing and evaluation pipelines to measure model performance and fairness.
  • Stay ahead of industry trends in AI research to continuously improve our technology stack.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.
  • 5+ years of professional experience in Machine Learning or Deep Learning engineering.
  • Strong proficiency in Python, PyTorch, and Hugging Face Transformers.
  • Experience with vector databases (Pinecone, Milvus) and LLM deployment frameworks.
  • Proven track record of deploying scalable AI solutions in production environments.
  • Excellent problem-solving skills and ability to work in a fast-paced, agile environment.

Required Skills

Python PyTorch TensorFlow NLP LLM Machine Learning Data Science Deep Learning AI Hugging Face

Ready to Take This Challenge?

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