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Senior AI Engineer (2026 Vision)

Apex Horizon Systems
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
Live Update
19 Mei 2026
Deadline
19 Mei 2027

Job Description

Are you ready to architect the future of intelligent systems?

Apex Horizon Systems is seeking a visionary Senior AI Engineer to lead our next-generation AI initiatives. As we look ahead to the technological landscape of 2026, we are building the infrastructure that will define the next decade of automation and machine learning. In this role, you won't just maintain existing models; you will pioneer scalable, agentic AI solutions that drive business value.

Join a diverse team of experts in the heart of San Francisco and help us solve the world's most complex problems with code.

Responsibilities

  • Design & Development: Architect and deploy cutting-edge Machine Learning models and deep learning pipelines with a focus on scalability and future-proofing for 2026.
  • Model Optimization: Continuously refine model accuracy, latency, and throughput to ensure real-time performance in high-volume environments.
  • Agentic AI: Develop autonomous agent workflows that can handle complex, multi-step reasoning tasks with minimal human intervention.
  • MLOps Implementation: Establish robust CI/CD pipelines for machine learning, ensuring reproducibility and automated retraining strategies.
  • Technical Leadership: Mentor junior engineers, conduct code reviews, and drive technical decision-making within the AI squad.
  • Data Strategy: Collaborate with data scientists to curate high-quality datasets and implement advanced data preprocessing techniques.

Qualifications

  • Education: Bachelor’s or Master’s degree in Computer Science, Mathematics, or a related technical field.
  • Experience: 5+ years of professional experience in software engineering or machine learning engineering.
  • Programming: Strong proficiency in Python, with deep knowledge of PyTorch, TensorFlow, or JAX.
  • Frameworks: Proven experience with LangChain, LlamaIndex, or similar orchestration frameworks for AI agents.
  • Cloud Expertise: Extensive experience deploying models on AWS, GCP, or Azure using Kubernetes and Docker.
  • Problem Solving: Exceptional ability to troubleshoot complex technical issues and translate business requirements into technical specifications.

Required Skills

Python PyTorch TensorFlow MLOps AWS Kubernetes Deep Learning NLP Computer Vision

Ready to Take This Challenge?

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