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Artificial Intelligence 🏒 Full Time ⭐️ Verified

Senior Generative AI Engineer

Nexus Core Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

Are you ready to architect the future of intelligence? Nexus Core Technologies is seeking a visionary Senior Generative AI Engineer to join our elite R&D division in San Francisco.

As we move towards the 2026 technological horizon, we are building the autonomous systems and Large Language Models (LLMs) that will redefine human-machine interaction. You will not just be using existing tools; you will be pushing the boundaries of transformer architectures, reinforcement learning, and agentic workflows.

Join a team of world-class researchers and engineers dedicated to solving the most complex challenges in natural language processing and synthetic data generation.

Responsibilities

  • Design and implement state-of-the-art Generative AI models, including LLMs, diffusion models, and multimodal systems.
  • Optimize model inference latency and throughput for high-scale production environments.
  • Research and prototype novel architectures to improve reasoning capabilities and reduce hallucinations.
  • Collaborate with cross-functional teams to integrate AI agents into enterprise applications.
  • Establish best practices for data privacy, security, and ethical AI deployment.
  • Mentor junior engineers and research scientists on advanced deep learning techniques.

Qualifications

  • Master’s or PhD in Computer Science, Mathematics, or a related field with a focus on AI/ML.
  • 5+ years of professional experience in Deep Learning, NLP, or Generative AI.
  • Strong proficiency in Python, PyTorch, or TensorFlow.
  • Proven track record of deploying production-grade LLMs and fine-tuning open-source models (e.g., Llama 3, Mistral).
  • Experience with vector databases (Pinecone, Milvus) and RAG (Retrieval-Augmented Generation) pipelines.
  • Deep understanding of transformer models, attention mechanisms, and distributed training.

Required Skills

Generative AI LLMs Large Language Models PyTorch TensorFlow NLP Machine Learning Python RAG Fine-tuning Transformer Architecture Reinforcement Learning

Ready to Take This Challenge?

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