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Senior AI Engineer - 2026 Vision

Apex Horizon Systems
San Francisco
Estimated Salary
USD 185.000 – USD 260.000
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Are you ready to engineer the future? Apex Horizon Systems is leading the charge in the 2026 AI era, developing autonomous systems that redefine human-machine interaction. We are looking for a Senior AI Engineer to architect the core infrastructure for our next-generation LLM agents and multimodal reasoning engines.

In this role, you won't just maintain existing code; you will build the foundational models that will power enterprise solutions for years to come. We offer a highly competitive compensation package, equity opportunities, and the autonomy to innovate.

Responsibilities

  • Design and implement scalable AI architectures tailored for the 2026 compute landscape.
  • Lead the development of advanced NLP models, including fine-tuning, instruction tuning, and reinforcement learning from human feedback (RLHF).
  • Optimize model inference for low-latency, high-throughput environments.
  • Collaborate cross-functionally with product and engineering teams to define AI product requirements.
  • Establish and enforce MLOps best practices, including CI/CD pipelines, model monitoring, and version control.
  • Research and prototype cutting-edge techniques in prompt engineering and context window management.

Qualifications

  • PhD or Master's degree in Computer Science, Artificial Intelligence, or a related technical field.
  • 5+ years of professional experience in building and deploying machine learning systems.
  • Expert proficiency in Python, PyTorch, and TensorFlow.
  • Deep experience with Large Language Models (LLMs) and Generative AI frameworks (LangChain, LlamaIndex).
  • Strong understanding of distributed systems, cloud infrastructure (AWS/GCP), and containerization (Docker/Kubernetes).
  • Excellent problem-solving skills and the ability to communicate complex technical concepts to diverse stakeholders.

Required Skills

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

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