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Senior Generative AI Engineer (2026 Vision)

Apex Horizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

We are on a mission to define the technology landscape of 2026. Apex Horizon Labs is seeking a visionary Senior Generative AI Engineer to pioneer the next generation of autonomous agents and multimodal AI systems. In this role, you will not just build models; you will architect the future of human-machine interaction.

Join our elite engineering team and work on cutting-edge projects that bridge the gap between theoretical AI research and production-grade scalability. If you are passionate about the trajectory of artificial intelligence and want to lead the charge in the 2026 era, we want to hear from you.

Responsibilities

  • Architect Scalable LLM Pipelines: Design and implement robust Retrieval-Augmented Generation (RAG) architectures to enhance model accuracy and context retention.
  • Pioneer Autonomous Agents: Develop intelligent agents capable of complex reasoning, tool usage, and multi-step decision-making processes.
  • Optimize Model Performance: Fine-tune foundation models using techniques such as LoRA and QLoRA, focusing on low-latency inference and high throughput.
  • Ensure Ethical Alignment: Implement safety guardrails and alignment techniques to ensure AI outputs are unbiased, safe, and compliant with emerging regulations.
  • Collaborate on Visionary Projects: Partner with product and research teams to translate futuristic concepts into actionable technical roadmaps.

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related field.
  • 5+ years of professional experience in software engineering, with a focus on machine learning or deep learning.
  • Deep expertise in Python and frameworks such as PyTorch, TensorFlow, or JAX.
  • Proven track record in deploying Large Language Models (LLMs) in production environments.
  • Familiarity with MLOps tools (MLflow, DVC) and cloud platforms (AWS, GCP, or Azure).
  • Strong understanding of transformer architectures, attention mechanisms, and distributed training.

Required Skills

Python PyTorch TensorFlow Large Language Models RAG MLOps AWS GCP Machine Learning Deep Learning Generative AI

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