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Information Technology 🏒 Full Time ⭐️ Verified

Senior Generative AI Engineer

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
17 Mei 2026
Deadline
17 Mei 2027

Job Description

Architect the Future of Intelligence.

Nexus Future Labs is at the forefront of the AI revolution. We are seeking a visionary Senior Generative AI Engineer to lead the development of next-generation Large Language Models (LLMs) and autonomous agent systems. If you are passionate about building systems that understand and generate human-like text with unprecedented accuracy, we want to hear from you.

In this pivotal role, you will bridge the gap between theoretical research and production-grade deployment, shaping the technological landscape of 2026 and beyond.

Why You Should Apply:

  • Impactful Work: Build AI solutions that redefine enterprise efficiency.
  • Top-Tier Compensation: Competitive salary plus performance-based equity.
  • Flexible Culture: Remote-first environment with a focus on work-life balance.
  • State-of-the-Art Tools: Access to the latest GPUs and cloud infrastructure.

Responsibilities

  • Design and implement scalable architectures for fine-tuning and deploying Large Language Models (LLMs).
  • Develop and optimize Retrieval-Augmented Generation (RAG) pipelines to enhance factual accuracy and reduce hallucinations.
  • Collaborate with cross-functional teams to integrate AI agents into existing software ecosystems.
  • Conduct rigorous testing and evaluation of model performance, including benchmarks and human-in-the-loop validation.
  • Ensure AI safety, ethical alignment, and compliance with data privacy regulations.
  • Stay abreast of the latest research in NLP and Deep Learning to drive continuous innovation.

Qualifications

  • Master’s or PhD in Computer Science, Mathematics, or a related technical field (or equivalent professional experience).
  • 5+ years of experience in Machine Learning, Deep Learning, or Natural Language Processing.
  • Expert proficiency in Python, PyTorch, or TensorFlow.
  • Strong experience with vector databases (e.g., Pinecone, Milvus, Weaviate) and cloud platforms (AWS, GCP, or Azure).
  • Deep understanding of transformer architectures, attention mechanisms, and model quantization.
  • Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Generative AI Large Language Models (LLM) Python PyTorch TensorFlow NLP Machine Learning Deep Learning RAG Vector Databases AWS GCP

Ready to Take This Challenge?

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

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