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Senior AI Engineer - Generative AI & LLMs

FutureScale Technologies
San Francisco
Estimated Salary
USD 160.000 – USD 240.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

We are looking for a visionary Senior AI Engineer to lead the development of next-generation Artificial Intelligence systems. At FutureScale Technologies, we are building the infrastructure for the year 2026 and beyond, specializing in Large Language Models (LLMs) and Generative AI. You will have the opportunity to shape the future of human-computer interaction while working with state-of-the-art technology.


Why Join Us?
We offer competitive equity packages, flexible remote-first policies, and a culture that prioritizes innovation over bureaucracy.

Responsibilities

  • Design, train, and deploy scalable Machine Learning models and Deep Learning architectures.
  • Optimize LLMs for inference speed and reduce latency in production environments.
  • Collaborate with data scientists and product managers to define AI product requirements.
  • Implement robust MLOps pipelines for model monitoring and version control.
  • Stay at the forefront of AI research to integrate cutting-edge advancements into our stack.
  • Conduct code reviews and mentor junior engineers in AI best practices.

Qualifications

  • Master’s or PhD in Computer Science, Statistics, or a related technical field (or equivalent experience).
  • 3+ years of professional experience in AI/ML engineering, with a focus on NLP or Computer Vision.
  • Expert proficiency in Python, PyTorch, or TensorFlow.
  • Strong understanding of MLOps tools (Kubernetes, Docker, MLflow, AWS SageMaker).
  • Experience with vector databases and RAG architectures.
  • Excellent problem-solving skills and ability to work in a fast-paced, agile environment.

Required Skills

Python PyTorch TensorFlow MLOps Kubernetes AWS NLP LLM Machine Learning Deep Learning AI Data Science

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