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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI & Machine Learning Engineer - 2026 Vision

Nexus Future Labs
San Francisco
Estimated Salary
USD 185.000 – USD 260.000
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

We are looking for a visionary Senior AI Engineer to architect the next generation of intelligent systems. As we gear up for the technological milestones of 2026, you will be at the forefront of Agentic AI and Large Language Models (LLMs). Join a team that is redefining the boundaries of human-computer interaction and building scalable solutions for the future.

In this role, you will not just maintain legacy systems; you will pioneer the frameworks that will define the industry landscape in 2026 and beyond.

Responsibilities

  • Design and deploy scalable AI models focusing on predictive analytics and natural language processing.
  • Lead the integration of emerging 2026-ready technologies, such as Spatial Computing and Edge AI, into our core product suite.
  • Mentor junior engineers and foster a culture of innovation, technical excellence, and rapid prototyping.
  • Collaborate with cross-functional teams to translate complex business requirements into cutting-edge technical solutions.
  • Optimize algorithms for low-latency, high-throughput environments ensuring real-time performance.
  • Stay ahead of the curve by researching and implementing bleeding-edge AI methodologies.

Qualifications

  • Master's degree in Computer Science, Mathematics, or a related field (PhD preferred).
  • 5+ years of experience in AI/ML engineering with a proven track record of shipping production-level models.
  • Proven expertise in deep learning frameworks (PyTorch, TensorFlow, or JAX).
  • Strong proficiency in Python, SQL, and distributed systems.
  • Experience with cloud infrastructure (AWS/GCP) and containerization (Docker/Kubernetes).
  • Deep understanding of ethical AI practices and data privacy regulations.

Required Skills

Python PyTorch TensorFlow AWS Docker Kubernetes Machine Learning Natural Language Processing Deep Learning Cloud Computing Agentic AI

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