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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Engineer (2026 Roadmap)

Nexus Horizon
San Francisco
Estimated Salary
USD 165.000 – USD 230.000
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

Are you ready to architect the future of intelligent systems?

Nexus Horizon is a cutting-edge research lab pioneering the technological landscape for the year 2026. We are looking for a visionary Senior AI Engineer to lead our 2026 Roadmap initiatives, focusing on next-generation Generative AI, large-scale reasoning models, and autonomous agent architectures.

In this role, you will bridge the gap between theoretical research and production-grade systems, ensuring our solutions are scalable, efficient, and ethically sound. You will work closely with cross-functional teams of data scientists, product managers, and hardware engineers to build the foundation for the AI-native world of tomorrow.

Why Join Nexus Horizon?

  • Work on high-impact projects that define the standard for 2026.
  • Competitive equity package and top-tier compensation.
  • Flexible remote-first culture with premium San Francisco amenities.
  • Access to state-of-the-art compute infrastructure.

Responsibilities

  • Architect & Scale: Design and deploy scalable deep learning architectures for large language models (LLMs) and multimodal systems.
  • R&D Leadership: Lead research initiatives focused on emerging paradigms for the 2026 era, including Agentic AI and Neural Symbolic reasoning.
  • Optimization: Drive performance optimization for inference and training pipelines, reducing latency and energy consumption.
  • Model Governance: Implement best practices for model bias mitigation, safety, and compliance with evolving regulations.
  • Cross-Functional Collaboration: Partner with product teams to translate technical roadmaps into user-centric features.

Qualifications

  • Education: M.S. or Ph.D. in Computer Science, Machine Learning, or a related quantitative field.
  • Experience: 5+ years of professional experience in AI/ML engineering, with at least 2 years focusing on NLP or Generative AI.
  • Technical Skills: Proficiency in Python, PyTorch, or TensorFlow; experience with Hugging Face Transformers and distributed training frameworks (Ray, Horovod).
  • Strategic Mindset: Proven ability to define technical roadmaps and prioritize long-term research goals (e.g., the 2026 vision).
  • Communication: Exceptional ability to communicate complex technical concepts to diverse stakeholders.

Required Skills

Python PyTorch TensorFlow LLMs Generative AI NLP Machine Learning Distributed Systems MLOps CUDA Docker Kubernetes

Ready to Take This Challenge?

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