Home Job Details
N
Information Technology 🏒 Full Time ⭐️ Verified

Senior AI/LLM Engineer - 2026 Vision

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
2 Juni 2026
Deadline
2 Jun 2027

Job Description

Shape the Future of Intelligence

We are at the forefront of the AI revolution, building the autonomous systems that will define the year 2026 and beyond. As a Senior AI/LLM Engineer at Nexus Future Labs, you will architect the next generation of generative models, pushing the boundaries of what is possible in artificial intelligence. Join us in San Francisco to lead high-impact projects that redefine human-machine interaction.

Why Join Us?

  • Future-Ready Tech Stack: Work with cutting-edge frameworks and proprietary infrastructure.
  • Impact: Your work will directly influence the trajectory of AI development.
  • Equity: Competitive equity package for long-term growth.

The Role

We are looking for a visionary engineer with a deep understanding of Large Language Models (LLMs) and agent-based architectures. You will lead the design and implementation of scalable AI systems, ensuring performance, safety, and ethical alignment.

Responsibilities

  • Design and deploy scalable LLM architectures tailored for complex reasoning tasks.
  • Optimize model inference latency and reduce token costs through advanced quantization and distillation techniques.
  • Lead the integration of Retrieval-Augmented Generation (RAG) pipelines to enhance knowledge accuracy.
  • Collaborate with cross-functional teams to translate business requirements into technical AI solutions.
  • Establish best practices for model evaluation, testing, and monitoring in production environments.
  • Drive research initiatives to explore emerging AI paradigms, such as multimodal learning and autonomous agents.

Qualifications

  • PhD or Master’s degree in Computer Science, Mathematics, or a related field (or equivalent professional experience).
  • 5+ years of experience in Machine Learning, Deep Learning, or Natural Language Processing.
  • Strong proficiency in Python, PyTorch, and TensorFlow.
  • Deep understanding of Transformer models, attention mechanisms, and LLM training methodologies.
  • Experience with MLOps tools (Docker, Kubernetes, MLflow, Airflow).
  • Excellent problem-solving skills and the ability to thrive in a fast-paced, innovative environment.

Required Skills

Python PyTorch TensorFlow LLM MLOps NLP Machine Learning Docker Kubernetes Generative AI Transformer Models

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

Apply Now

Related Jobs

Similar job recommendations for you

View All