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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI/ML Engineer - GenAI Roadmap 2026

Nexus Horizon AI
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
17 Mei 2026
Deadline
17 Mei 2027

Job Description

Shape the Future of Intelligence

Are you ready to architect the next generation of generative AI systems? Nexus Horizon AI is seeking a visionary Senior AI/ML Engineer to lead our roadmap for 2026 and beyond. We are building the foundational models that will power the next decade of enterprise automation.

Join a world-class team of researchers and engineers dedicated to pushing the boundaries of Large Language Models (LLMs), multimodal reasoning, and autonomous agents. You will define the technical strategy that defines our product for the coming years.

Responsibilities

  • Lead GenAI R&D: Spearhead the research and development of proprietary LLM architectures and fine-tuning pipelines to ensure competitive advantage.
  • Scalable Infrastructure: Design and deploy high-throughput, low-latency inference serving systems capable of handling millions of daily requests.
  • Optimization: Implement advanced quantization, pruning, and distillation techniques to optimize model efficiency on both cloud and edge devices.
  • Cross-Functional Leadership: Collaborate closely with product managers and data scientists to translate complex research into deployable, user-facing features.
  • Mentorship: Guide a team of junior engineers and research scientists, fostering a culture of innovation, code quality, and technical excellence.

Qualifications

  • Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
  • Experience: 5+ years of professional experience in Machine Learning, Deep Learning, or Natural Language Processing.
  • Technical Stack: Proficiency in Python, PyTorch, TensorFlow, and experience with modern vector databases (e.g., Pinecone, Milvus, Weaviate).
  • GenAI Expertise: Deep understanding of transformer models, RAG (Retrieval-Augmented Generation), and advanced prompt engineering strategies.
  • Problem Solving: Demonstrated ability to solve complex technical challenges in large-scale distributed systems and cloud environments.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning LLMs NLP GenAI Docker Kubernetes AWS

Ready to Take This Challenge?

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