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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI/LLM Engineer - 2026 Vision

Nebula Innovations
San Francisco
Estimated Salary
USD 160.000 – USD 240.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

About Us
We are Nebula Innovations, a pioneering force in the technology landscape. As we look toward 2026, our mission is to redefine human-computer interaction through advanced Artificial Intelligence. We are seeking a visionary Senior AI/LLM Engineer to lead our research and deployment initiatives.

The Role
In this pivotal position, you will be at the forefront of the AI revolution. You will not just use existing tools; you will architect the next generation of Large Language Models, fine-tuning them to solve complex, real-world problems. You will work in a collaborative, high-performance environment that values creativity, technical excellence, and ethical AI.

Why Join Us?
Be part of a team that is shaping the future. We offer competitive compensation, equity packages, and the opportunity to work on projects that will define the industry standard for the next decade.

Responsibilities

  • Architect and deploy scalable Large Language Model (LLM) infrastructure.
  • Conduct cutting-edge research to improve model accuracy, reasoning capabilities, and reduce hallucinations.
  • Collaborate with cross-functional teams to integrate AI models into consumer-facing products.
  • Optimize model inference speed and cost-efficiency for production environments.
  • Establish best practices for data governance and model safety within the organization.
  • Stay ahead of the curve on emerging AI trends and 2026 technology roadmaps.

Qualifications

  • Master’s or PhD in Computer Science, Machine Learning, or a related field.
  • 5+ years of professional experience in AI/ML engineering.
  • Deep proficiency in Python, PyTorch, and TensorFlow.
  • Extensive experience with fine-tuning open-source models (e.g., LLaMA, Mistral) and prompt engineering.
  • Familiarity with MLOps tools (Docker, Kubernetes, MLflow) and cloud platforms (AWS/GCP).
  • Strong understanding of transformer architectures and natural language processing techniques.

Required Skills

Python PyTorch TensorFlow LLM Machine Learning MLOps Docker Kubernetes AWS Natural Language Processing Transformer Models Generative AI

Ready to Take This Challenge?

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