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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Solutions Engineer

Nexus Innovations
Seattle
Estimated Salary
USD 160.000 – USD 210.000
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

We are seeking a visionary Senior AI Solutions Engineer to lead our cutting-edge artificial intelligence initiatives. At Nexus Innovations, we are building the infrastructure of tomorrow, and you will be at the forefront of this transformation. You will bridge the gap between complex machine learning models and scalable production environments, ensuring our clients receive world-class AI integration.

Why Join Us?

  • Work with the latest LLMs and Generative AI technologies.
  • Competitive compensation and equity package.
  • Flexible remote-first culture with a focus on work-life balance.
  • Opportunity to shape the future of enterprise AI.

If you are passionate about code, data, and the future of technology, we want to hear from you.

Responsibilities

  • Architect and deploy scalable machine learning pipelines and AI-driven applications.
  • Collaborate with data scientists to translate research prototypes into production-ready code.
  • Optimize algorithms for performance, latency, and cost efficiency.
  • Conduct code reviews and mentor junior engineers on best practices in AI engineering.
  • Implement robust monitoring and logging for AI model inference.
  • Stay abreast of the latest advancements in NLP, Computer Vision, and Generative AI.

Qualifications

  • 5+ years of experience in software engineering, with a focus on AI/ML infrastructure.
  • Proficiency in Python, PyTorch, TensorFlow, or similar deep learning frameworks.
  • Strong experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
  • Deep understanding of MLOps principles, CI/CD, and data versioning.
  • Excellent problem-solving skills and the ability to work in a fast-paced, agile environment.
  • Experience with API design and integration patterns.

Required Skills

Python Machine Learning TensorFlow AWS Docker Kubernetes MLOps PyTorch API Development Agile

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

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