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Senior AI Engineer: 2026 Agentic Systems

Apex Future Systems
San Francisco
Estimated Salary
USD 165.000 – USD 220.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Shape the Future of Intelligent Automation


We are seeking a visionary Senior AI Engineer to spearhead the development of 2026-ready Agentic AI systems at Apex Future Systems. As the technology landscape accelerates, we need a pioneer who can bridge the gap between current capabilities and the autonomous systems of tomorrow. You will be at the forefront of building self-learning agents capable of complex decision-making and human-like interaction.

In this high-impact role, you will not just write code; you will architect the intelligence layer that defines the next generation of enterprise software. If you are passionate about the future of AI and want to influence the roadmap for 2026 and beyond, we want to hear from you.

Responsibilities

  • Architect and deploy next-generation Agentic AI frameworks designed for 2026 scalability.
  • Lead the research and implementation of Large Language Model (LLM) fine-tuning and RAG pipelines.
  • Collaborate with product teams to define AI roadmaps and technical strategies for future releases.
  • Optimize model inference speeds and reduce latency for real-time autonomous decision-making.
  • Mentor a team of junior AI engineers and data scientists, fostering a culture of innovation.
  • Ensure all systems adhere to the highest standards of data privacy, security, and ethical AI compliance.

Qualifications

  • PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.
  • 5+ years of professional experience in Machine Learning, Deep Learning, or Natural Language Processing.
  • Extensive expertise in Python, PyTorch, TensorFlow, and modern MLOps tools (Docker, Kubernetes, MLflow).
  • Proven track record of deploying production-grade AI models that handle high transaction volumes.
  • Strong understanding of vector databases and semantic search technologies.
  • Exceptional problem-solving skills and the ability to thrive in a fast-paced, ambiguous environment.

Required Skills

Python Machine Learning Deep Learning NLP PyTorch TensorFlow MLOps AI Architecture 2026 Tech Trends Generative AI System Design

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