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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Engineer - Generative Models

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Shape the Future of Intelligence.

We are seeking a visionary Senior AI Engineer to lead our Generative AI division. At Nexus Future Labs, we are building the next generation of autonomous agents and cognitive systems. If you are passionate about pushing the boundaries of Large Language Models (LLMs) and multimodal AI, this is your chance to make a significant impact on the technological landscape of 2026 and beyond.

You will work in a high-performance environment collaborating with top-tier researchers and engineers. We offer competitive compensation, equity packages, and the opportunity to work on projects that redefine human-computer interaction.


Why Join Us?

  • Competitive base salary: $180k - $260k + Equity
  • Comprehensive health, dental, and vision insurance
  • Flexible remote and hybrid work options
  • Annual learning and development stipend
  • Unlimited PTO policy

Responsibilities

  • Architect and deploy scalable machine learning pipelines for large-scale generative models.
  • Conduct cutting-edge research to improve model accuracy, efficiency, and robustness.
  • Collaborate with product teams to translate research findings into production-ready features.
  • 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 implement relevant innovations.

Qualifications

  • PhD or Master's degree in Computer Science, Artificial Intelligence, or a related field.
  • 5+ years of professional experience in Machine Learning or Deep Learning.
  • Strong proficiency in Python, PyTorch, or TensorFlow.
  • Proven experience fine-tuning and deploying LLMs (e.g., GPT, Llama, Claude).
  • Familiarity with MLOps tools and cloud platforms (AWS, GCP, or Azure).
  • Experience with data engineering, data cleaning, and feature engineering.
  • Excellent problem-solving skills and ability to work in a fast-paced, agile environment.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP LLM MLOps AWS GCP Data Engineering Generative AI

Ready to Take This Challenge?

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