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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Engineer - Shaping the 2026 Future

Nexus Horizon
San Francisco
Estimated Salary
USD 160.000 – USD 240.000
New
Live Update
22 Mei 2026
Deadline
22 Mei 2027

Job Description

We are seeking a visionary Senior AI Engineer to join our elite team in San Francisco. As we prepare for the technological leaps of 2026, you will be at the forefront of designing next-generation artificial intelligence systems that redefine human-computer interaction.

In this role, you will not just build models; you will architect the future. We are looking for someone who thrives in ambiguity and is passionate about ethical AI, large language models, and predictive analytics that drive global impact.

Responsibilities

  • Architect and deploy scalable machine learning models optimized for 2026 data standards.
  • Lead the research and implementation of Generative AI and LLM fine-tuning strategies.
  • Collaborate with cross-functional teams to integrate AI solutions into core product ecosystems.
  • Establish best practices for data governance, privacy, and ethical AI usage.
  • Mentor junior engineers and foster a culture of continuous innovation and technical excellence.
  • Analyze complex datasets to predict market trends and optimize business intelligence.
  • Stay ahead of emerging tech trends to ensure our stack remains future-proof.

Qualifications

  • Master’s degree in Computer Science, Data Science, or a related field.
  • 5+ years of experience in AI/ML engineering with a focus on Python, TensorFlow, or PyTorch.
  • Deep understanding of Deep Learning architectures and Natural Language Processing (NLP).
  • Proven track record of deploying production-ready ML systems.
  • Strong problem-solving skills with the ability to navigate complex technical challenges.
  • Excellent communication skills to translate technical concepts for non-technical stakeholders.
  • Familiarity with cloud platforms (AWS/GCP/Azure) and containerization (Docker/Kubernetes).

Required Skills

Python TensorFlow PyTorch Machine Learning Deep Learning NLP AWS Docker Kubernetes

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