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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Engineer - Shaping the Future (2026)

Nexus Horizon
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
2 Juni 2026
Deadline
2 Jun 2027

Job Description

We are looking for a visionary Senior AI Engineer to lead the architectural design of our 2026 product roadmap. Nexus Horizon is pioneering the next generation of autonomous intelligent systems, and we need a technical leader who is obsessed with scalability, ethics, and performance.

In this pivotal role, you will bridge the gap between cutting-edge AI research and production-grade engineering, directly influencing how we deliver intelligent experiences to millions of users globally.

Responsibilities

  • Architect Scalable AI Systems: Design and deploy large-scale machine learning pipelines capable of handling real-time data ingestion and processing at enterprise scale.
  • Lead Model Optimization: Fine-tune and optimize state-of-the-art Large Language Models (LLMs) and multimodal systems for specific vertical use cases.
  • Future-Proof Development: Spearhead research into emerging AI paradigms (e.g., Agentic AI, Reinforcement Learning) to ensure our stack is ready for the 2026 technological landscape.
  • Collaborate with Cross-Functional Teams: Work closely with product managers and designers to translate complex AI capabilities into intuitive, user-centric interfaces.
  • Ethical AI Implementation: Establish rigorous guidelines and guardrails for AI decision-making to ensure fairness, transparency, and compliance with global regulations.

Qualifications

  • Education: Bachelor’s or Master’s degree in Computer Science, Mathematics, Statistics, or a related quantitative field.
  • Experience: 5+ years of professional experience in Machine Learning Engineering or AI Research roles.
  • Technical Skills: Deep proficiency in Python, PyTorch, TensorFlow, or JAX. Extensive experience with cloud platforms (AWS, GCP) is required.
  • LLM Expertise: Proven track record of working with Transformer architectures, Hugging Face, LangChain, and vector databases.
  • Problem Solving: Strong ability to debug complex distributed systems and optimize model latency for production environments.

Required Skills

Python PyTorch TensorFlow Machine Learning Large Language Models AI NLP Cloud Computing AWS GCP Agentic AI

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