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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Engineer (2026 Visionary Role)

Nexus Horizon
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Are you ready to shape the technological landscape of 2026 and beyond? Nexus Horizon is seeking a visionary Senior AI Engineer to lead the development of next-generation artificial intelligence systems. We are building the infrastructure for a future where AI seamlessly integrates into enterprise solutions, and we need a technical leader who thrives on complexity and innovation.

In this role, you will architect scalable machine learning pipelines, fine-tune large language models, and deploy cutting-edge algorithms that drive our product roadmap. If you are passionate about the intersection of data science and engineering, and you want to leave a lasting mark on the industry, we want to hear from you.

Responsibilities

  • Architect and implement end-to-end machine learning pipelines from data ingestion to model deployment.
  • Lead the research and development of advanced AI models, focusing on Generative AI, NLP, and Computer Vision.
  • Collaborate with cross-functional teams to integrate AI capabilities into our core product offerings.
  • Optimize model inference latency and scalability for high-traffic production environments.
  • Mentor junior engineers and data scientists, fostering a culture of technical excellence.
  • Stay abreast of the latest advancements in AI research and translate them into practical applications.

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Mathematics, or a related field (PhD preferred).
  • 5+ years of professional experience in software engineering with a strong focus on Machine Learning.
  • Proficiency in Python, PyTorch, TensorFlow, or JAX.
  • Deep understanding of MLOps, cloud infrastructure (AWS/GCP/Azure), and containerization (Docker/Kubernetes).
  • Experience with fine-tuning Large Language Models (LLMs) and RAG architectures.
  • Strong problem-solving skills and the ability to work in a fast-paced, agile environment.

Required Skills

Python PyTorch TensorFlow Machine Learning NLP MLOps Docker Kubernetes AWS GCP Generative AI LLM RAG

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