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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Research Engineer - 2026 Vision

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

We are on a mission to architect the technology stack for the year 2026 and beyond. We are seeking a visionary Senior AI Research Engineer to lead our initiatives in next-generation artificial intelligence.

In this role, you will not merely maintain existing systems; you will pioneer the future of generative AI, large language models, and autonomous agents. You will bridge the gap between theoretical research and high-scale production implementation.

Join us to build the intelligent systems that will define the next era of human-computer interaction.

Responsibilities

  • Architect Future-Ready AI Systems: Design and implement scalable infrastructure for Large Language Models (LLMs) and multimodal AI agents.
  • Pioneer Research: Conduct cutting-edge research into emergent AI behaviors and optimization techniques for the 2026 landscape.
  • Optimize Performance: Engineer inference pipelines that ensure low latency, high throughput, and cost efficiency.
  • MLOps Leadership: Establish robust CI/CD pipelines and MLOps strategies to automate model training and deployment.
  • Strategic Collaboration: Partner with product and engineering teams to integrate AI capabilities into core business solutions.
  • Mentorship: Guide a team of talented data scientists and engineers, fostering a culture of innovation and technical excellence.

Qualifications

  • Experience: 5+ years of professional experience in Machine Learning, Deep Learning, or Artificial Intelligence.
  • Tech Stack: Proficient in Python, PyTorch, or TensorFlow with a strong grasp of numerical computing libraries.
  • Specialization: Deep expertise in Natural Language Processing (NLP), Computer Vision, or Reinforcement Learning.
  • Cloud & DevOps: Experience deploying models on major cloud platforms (AWS, GCP, Azure) using Docker and Kubernetes.
  • Problem Solving: Ability to translate complex academic research papers into production-ready, maintainable code.
  • Communication: Exceptional verbal and written communication skills for technical presentations and documentation.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP MLOps Docker Kubernetes AWS GCP Generative AI Large Language Models AI Research

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