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Senior AI/ML Engineer (Generative Focus)

QuantumLeap Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 240.000
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

Shape the Future of Intelligence in 2026.

QuantumLeap Innovations is pioneering the next evolution of autonomous systems. We are seeking a world-class Senior AI/ML Engineer to lead our generative AI initiatives. As we move into 2026, the landscape of Artificial Intelligence is shifting from simple automation to complex, reasoning-capable agents. You will be at the helm of this transformation, designing architectures that define the standard for the industry.

Why Join Us?

Work with state-of-the-art hardware and cloud infrastructure. Collaborate with a team of elite researchers and engineers. Competitive equity packages and a commitment to ethical AI development.

Responsibilities

  • Architect and deploy scalable Large Language Models (LLMs) and Generative AI systems for production environments.
  • Develop and fine-tune AI Agents capable of multi-step reasoning and autonomous task execution.
  • Design and implement RAG (Retrieval-Augmented Generation) pipelines to enhance model accuracy and reduce hallucinations.
  • Optimize model inference latency and reduce operational costs through advanced quantization and distributed training.
  • Establish robust MLOps workflows using Kubernetes and CI/CD for continuous model integration and deployment.
  • Conduct rigorous testing and evaluation of model performance against safety and ethical benchmarks.
  • Collaborate with product leadership to translate technical roadmaps into feature-rich AI applications.

Qualifications

  • Master’s or PhD in Computer Science, Machine Learning, or a related quantitative field.
  • 5+ years of hands-on experience in Deep Learning, NLP, or Computer Vision.
  • Expert proficiency in Python, PyTorch, and TensorFlow.
  • Deep understanding of Transformer architectures and attention mechanisms.
  • Proven experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies.
  • Track record of publishing research or contributing to open-source AI projects.
  • Strong ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Python PyTorch TensorFlow NLP LLMs MLOps AWS Generative AI Deep Learning Kubernetes

Ready to Take This Challenge?

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