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Information Technology 🏢 Full Time ⭐️ Verified

Lead AI Engineer: 2026 Vision

Apex Innovation Labs
San Francisco
Estimated Salary
USD 160.000 – USD 230.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Are you ready to define the future of intelligence? Apex Innovation Labs is seeking a visionary Lead AI Engineer to spearhead our 2026 roadmap.

We aren't just building AI; we are architecting the ecosystem that will define the next decade of human-machine interaction. In this pivotal role, you will oversee the development of autonomous agents and next-generation neural networks that will power our enterprise solutions.

Why join us?

  • Work on cutting-edge Agentic AI technologies.
  • Shape the technical strategy for our 2026 product release cycle.
  • Competitive compensation and equity package.
  • Flexible remote-first culture with a SF hub.

Responsibilities

  • Architect scalable, high-performance machine learning pipelines for production environments.
  • Lead the research, design, and implementation of Agentic AI workflows and autonomous agents.
  • Define the technical vision and roadmap for our AI infrastructure leading up to 2026.
  • Mentor and grow a world-class team of data scientists, ML engineers, and researchers.
  • Collaborate closely with product leadership to translate complex business requirements into technical blueprints.
  • Ensure model robustness, fairness, and ethical AI standards across all deployments.

Qualifications

  • 10+ years of experience in software engineering and machine learning.
  • Expert proficiency in Python, PyTorch, or TensorFlow.
  • Deep understanding of Large Language Models (LLMs), Transformers, and RAG architectures.
  • Strong background in distributed systems and cloud infrastructure (AWS/GCP/Azure).
  • Experience leading engineering teams through complex product lifecycles and technical pivots.
  • Master's degree in Computer Science, AI, or a related field is preferred.

Required Skills

Artificial Intelligence Machine Learning Python Deep Learning System Architecture Cloud Computing Team Leadership RAG Transformers

Ready to Take This Challenge?

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