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Senior AI Engineer - 2026 Roadmap | San Francisco, CA

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

We are looking for a visionary Senior AI Engineer to lead the development of our next-generation artificial intelligence solutions. As we prepare for the 2026 product roadmap, we need a technical expert who can bridge the gap between theoretical research and scalable production systems. You will be working on cutting-edge Large Language Models (LLMs) and generative AI architectures.

Why Join Us?

  • Work on products that will define the 2026 technology landscape.
  • Competitive compensation package and equity.
  • Flexible remote-first culture with occasional in-office collaboration in San Francisco.

If you are passionate about building the future of AI and want to make a tangible impact, we want to hear from you.

Responsibilities

  • Design and implement scalable machine learning pipelines for 2026 product requirements.
  • Lead the architecture of deep learning models, focusing on performance and accuracy.
  • Collaborate with product managers and data scientists to translate business needs into technical solutions.
  • Optimize model inference speed and reduce latency for real-time applications.
  • Mentor junior engineers and conduct code reviews to maintain high engineering standards.
  • Stay abreast of the latest advancements in AI research and integrate relevant technologies.

Qualifications

  • PhD or Master's degree in Computer Science, Machine Learning, or a related field.
  • Minimum of 5 years of professional experience in AI/ML engineering.
  • Expert proficiency in Python, PyTorch, or TensorFlow.
  • Strong experience with NLP, Transformers, or LLM fine-tuning.
  • Experience deploying models to production environments (AWS, GCP, or Azure).
  • Excellent problem-solving skills and the ability to work in a fast-paced startup environment.

Required Skills

Python PyTorch TensorFlow NLP Machine Learning Deep Learning LLM AWS GCP Data Pipelines

Ready to Take This Challenge?

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

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