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Senior AI Engineer (2026 Vision)

Apex Horizon Labs
San Francisco
Estimated Salary
USD 160.000 – USD 240.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

We are building the infrastructure for the future. Apex Horizon Labs is seeking a visionary Senior AI Engineer to lead the development of next-generation autonomous agents and Large Language Model (LLM) applications. As we look toward 2026, our mission is to redefine human-machine interaction through ethical, scalable, and intelligent systems.

If you are passionate about pushing the boundaries of Generative AI, MLOps, and Agentic workflows, we want to meet you.

Responsibilities

  • Architect & Build: Design and implement scalable AI/ML models and agentic workflows capable of handling complex, real-world scenarios.
  • Optimization: Optimize LLM inference pipelines for latency, cost-efficiency, and throughput using quantization and distillation techniques.
  • Data Strategy: Lead the development of high-quality synthetic data pipelines to fine-tune models for niche domains.
  • MLOps: Implement robust CI/CD pipelines and MLOps strategies to ensure model reliability and continuous deployment.
  • Collaboration: Partner with product and engineering teams to translate technical requirements into production-ready features.
  • Ethical AI: Ensure all AI systems adhere to safety guidelines, bias mitigation protocols, and regulatory standards.

Qualifications

  • Education: Master’s degree in Computer Science, Artificial Intelligence, or a related field (or equivalent practical experience).
  • Experience: 5+ years of professional experience in Machine Learning, Deep Learning, or Natural Language Processing.
  • Technical Stack: Proficiency in Python, PyTorch, TensorFlow, or JAX. Experience with LangChain or LlamaIndex.
  • Cloud Expertise: Strong experience deploying models on AWS, GCP, or Azure using Kubernetes and Docker.
  • Mathematical Aptitude: Deep understanding of linear algebra, calculus, probability, and statistics.
  • Communication: Excellent ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Python Machine Learning Deep Learning Natural Language Processing PyTorch TensorFlow MLOps Kubernetes AWS GCP Generative AI LangChain

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