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Lead AI Engineer: Future Tech Strategy (2026 Horizon)

Apex Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 240.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

We are seeking a visionary Lead AI Engineer to define the technological roadmap for 2026. If you are passionate about the intersection of Generative AI, ethical technology, and scalable infrastructure, this is your opportunity to lead the next generation of digital transformation.

At Apex Future Systems, we don't just predict the future; we build it. You will work alongside top-tier researchers and engineers to deploy state-of-the-art Large Language Models (LLMs) and autonomous agents.

Responsibilities

  • Architect and deploy scalable AI/ML infrastructure capable of supporting enterprise-level workloads.
  • Lead the development and fine-tuning of proprietary Large Language Models (LLMs) for diverse applications.
  • Establish ethical AI frameworks and governance protocols to ensure responsible innovation.
  • Collaborate with product teams to translate complex technical requirements into actionable engineering solutions.
  • Drive the integration of Computer Vision and Natural Language Processing (NLP) into core products.
  • Mentor junior engineers and foster a culture of technical excellence and continuous learning.

Qualifications

  • Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related field.
  • 5+ years of experience in software engineering, with 3+ years specializing in AI/ML.
  • Proficiency in Python, PyTorch, TensorFlow, or similar deep learning frameworks.
  • Strong understanding of MLOps, cloud architecture (AWS/Azure/GCP), and containerization.
  • Experience with LLMs, RAG pipelines, and vector databases.
  • Excellent problem-solving skills and a track record of shipping high-impact software.

Required Skills

Python TensorFlow PyTorch MLOps AWS Machine Learning Large Language Models Natural Language Processing

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