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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Engineer - Project 2026

Nexus Innovations
Remote
Estimated Salary
USD 160.000 – USD 240.000
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Are you ready to define the future? Nexus Innovations is looking for a visionary Senior AI Engineer to join our elite Project 2026 team. This is a high-impact, high-visibility role where you will architect the backbone of our next-generation generative AI platform.

In this role, you won't just write code; you will solve complex scalability challenges, optimize deep learning models for real-time inference, and lead a team of top-tier engineers in pushing the boundaries of what is possible in artificial intelligence.

We offer a competitive compensation package, equity options, and the flexibility to work from anywhere in the United States.

Responsibilities

  • Architect Scalable Pipelines: Design and implement robust, high-throughput data pipelines for training and serving large-scale LLMs and neural networks.
  • Model Optimization: Fine-tune and optimize model performance using techniques such as quantization, pruning, and distillation to reduce latency and cost.
  • Infrastructure Management: Leverage containerization (Docker/Kubernetes) and cloud-native services (AWS/GCP) to ensure 99.99% system uptime.
  • Research & Development: Stay at the forefront of AI research, experimenting with cutting-edge architectures and methodologies.
  • Code Review & Mentorship: Conduct rigorous code reviews and mentor junior developers, fostering a culture of technical excellence.
  • Collaboration: Work closely with product managers and data scientists to translate business requirements into technical solutions.

Qualifications

  • Education: Bachelor’s degree in Computer Science, Mathematics, or a related field; Master’s degree preferred.
  • Experience: 5+ years of professional experience in AI/ML engineering, with at least 2 years in a senior or lead capacity.
  • Programming: Expert-level proficiency in Python and C++.
  • Frameworks: Deep familiarity with PyTorch, TensorFlow, or JAX.
  • Cloud & DevOps: Proven experience deploying models in cloud environments and using CI/CD pipelines.
  • Problem Solving: Strong analytical skills with a track record of solving complex engineering problems.

Required Skills

Python Machine Learning PyTorch TensorFlow AWS GCP Kubernetes Docker NLP Deep Learning

Ready to Take This Challenge?

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