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Information Technology 🏢 Full Time ⭐️ Verified

Senior Artificial Intelligence Engineer

NexusMind AI Labs
San Francisco
Salary Estimate
USD 180.000 – USD 240.000
Live Update
18 Mei 2026
Deadline
18 Mei 2027

Job Description

Are you ready to redefine the boundaries of machine intelligence? NexusMind AI Labs is seeking a visionary Senior AI Engineer to join our core research and development team. You will be at the forefront of building scalable, high-performance generative models and agentic workflows that solve complex real-world problems. We offer a high-impact environment where your code directly influences the future of autonomous technology.

Responsibilities

  • Architect and deploy large-scale transformer-based models into production environments.
  • Collaborate with cross-functional teams to integrate AI capabilities into existing enterprise platforms.
  • Optimize neural network architectures for latency and throughput in distributed systems.
  • Lead research initiatives exploring reinforcement learning from human feedback (RLHF) techniques.
  • Mentor junior engineering staff and foster a culture of technical excellence and innovation.
  • Conduct deep-dive data analysis to iterate on model performance and reduce bias.
  • Stay abreast of industry breakthroughs and translate cutting-edge papers into functional code.

Qualifications

  • Master’s or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
  • 5+ years of professional experience in deep learning and machine learning systems.
  • Proficiency in Python and C++ with deep expertise in PyTorch or TensorFlow.
  • Demonstrated experience working with LLMs, vector databases, and cloud-native AI infrastructure (AWS/GCP).
  • Strong background in distributed training and parallel computing frameworks.
  • Proven track record of shipping production-grade AI models at scale.
  • Excellent communication skills with the ability to articulate complex technical concepts.

Required Skills

Artificial Intelligence Machine Learning Python PyTorch LLMs Transformer Architectures Cloud Computing Distributed Systems

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