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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI & Future Tech Engineer (2026 Focus)

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 240.000
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

Are you ready to architect the technology of tomorrow? Nexus Horizon Labs is seeking a visionary Senior AI Engineer to spearhead our 2026 roadmap.

We are building the next generation of intelligent systems. In this role, you will not just adapt to emerging trends—you will define them. You will work with cutting-edge frameworks to build scalable, ethical, and high-performance AI solutions that will define the industry standard for the year 2026.

Why Join Us?
We offer a competitive salary, equity package, and the opportunity to work on groundbreaking projects in a fully remote-first environment.

Responsibilities

  • Design and deploy state-of-the-art generative AI models tailored for the 2026 tech stack.
  • Optimize model inference latency and cost-efficiency for edge deployment and cloud scaling.
  • Collaborate with cross-functional teams to translate complex business requirements into technical AI architectures.
  • Lead code reviews and establish best practices for MLOps, data governance, and model security.
  • Experiment with novel architectures including Transformers, Graph Neural Networks, and Agentic AI workflows.
  • Stay ahead of the curve on emerging AI regulations and ethical guidelines.

Qualifications

  • Master’s degree in Computer Science, Engineering, or a related quantitative field.
  • 5+ years of professional experience in Machine Learning, Deep Learning, or AI research.
  • Expert proficiency in Python and major ML frameworks (PyTorch, TensorFlow, JAX).
  • Proven track record of fine-tuning Large Language Models (LLMs) and RAG systems.
  • Strong understanding of distributed systems, cloud infrastructure (AWS/GCP), and containerization (Docker/K8s).
  • Excellent communication skills and ability to mentor junior engineers.

Required Skills

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

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

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