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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI/AGI Engineer | 2026 Visionaries

OmniStream Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
11 Mei 2026
Deadline
11 Mei 2027

Job Description

We are not just building software; we are architecting the intelligence layer for the year 2026 and beyond. OmniStream Technologies is seeking a visionary Senior AI/AGI Engineer to lead the development of next-generation artificial general intelligence systems. If you are passionate about pushing the boundaries of machine learning and want to define the future of human-machine interaction, we want to meet you.

As a key player in our '2026' initiative, you will work on cutting-edge Large Language Models (LLMs) and autonomous agent architectures. Our mission is to create systems that are not only powerful but safe, ethical, and scalable for global deployment.

Responsibilities

  • Architect and Deploy: Design and implement scalable machine learning infrastructure for training and deploying large-scale AI models.
  • Model Optimization: Drive research initiatives to improve model inference speed, memory efficiency, and cost-effectiveness.
  • Ethical AI Alignment: Develop and implement safety guardrails to ensure AI outputs adhere to ethical standards and regulatory compliance.
  • R&D Leadership: Conduct cutting-edge research in Reinforcement Learning from Human Feedback (RLHF) and few-shot learning techniques.
  • Collaboration: Partner with product and engineering teams to integrate complex AI models into production applications seamlessly.

Qualifications

  • Education: Master’s or Ph.D. in Computer Science, Mathematics, or a related field with a focus on AI/ML.
  • Experience: 5+ years of professional experience in machine learning engineering, preferably with large-scale model development.
  • Technical Skills: Proficiency in Python, PyTorch, TensorFlow, and distributed computing frameworks (e.g., Apache Spark, Ray).
  • Domain Knowledge: Deep understanding of Transformer architectures, NLP, and deep neural networks.
  • Problem Solving: Strong ability to troubleshoot complex performance bottlenecks and optimize data pipelines.

Required Skills

Python PyTorch TensorFlow NLP Deep Learning Machine Learning Engineering LLMs Reinforcement Learning Distributed Systems

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