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Information Technology 🏒 Full Time ⭐️ Verified

Senior Artificial Intelligence Engineer

Nexus Horizon
Washington
Estimated Salary
USD 160.000 – USD 210.000
Live Update
11 Mei 2026
Deadline
11 Mei 2027

Job Description

We are looking for a visionary Senior Artificial Intelligence Engineer to join Nexus Horizon in Washington, D.C. As we prepare to shape the technological landscape of 2026, you will be at the forefront of deploying next-generation Generative AI solutions that drive operational excellence.

In this pivotal role, you will architect scalable machine learning pipelines and integrate large language models into our core products. If you are passionate about building the future of AI and thrive in a high-stakes, innovative environment, we want to hear from you.

Why Join Nexus Horizon?

  • Competitive compensation package ($160k - $210k base salary).
  • Comprehensive health, dental, and vision insurance.
  • Flexible remote/hybrid work options in the D.C. metro area.
  • Access to cutting-edge hardware and cloud infrastructure.
  • Professional development and certification reimbursement.

Responsibilities

  • Design, develop, and deploy state-of-the-art machine learning models and NLP algorithms.
  • Collaborate with cross-functional teams to integrate AI capabilities into production environments.
  • Optimize model inference speed and reduce latency for real-time applications.
  • Conduct rigorous A/B testing and model evaluation to ensure high accuracy and reliability.
  • Mentor junior engineers and contribute to code reviews and architectural discussions.
  • Stay abreast of the latest research in AI to recommend and implement innovative solutions.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Machine Learning, or a related field.
  • 5+ years of professional experience in software engineering and machine learning.
  • Strong proficiency in Python, TensorFlow, PyTorch, and Scikit-learn.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
  • Deep understanding of NLP techniques, transformer architectures, and LLMs.
  • Excellent problem-solving skills and ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Python PyTorch TensorFlow AWS Machine Learning NLP LLM Docker Kubernetes

Ready to Take This Challenge?

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