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Senior AI Engineer - Generative Models

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
12 Juli 2026
Deadline
12 Jul 2027

Job Description

Join the Revolution in Artificial Intelligence

Nexus Future Labs is at the forefront of the AI revolution. We are seeking a visionary Senior AI Engineer to lead the development of next-generation Large Language Models (LLMs) and generative AI systems. You will work on cutting-edge projects that define the future of human-computer interaction, working alongside world-class researchers and engineers.

If you are passionate about building scalable, robust, and ethical AI systems, we want to hear from you.

Responsibilities

  • Design, train, and fine-tune state-of-the-art Generative AI models using transformer architectures.
  • Optimize model inference performance and reduce latency for real-time applications.
  • Build and maintain robust MLOps pipelines to ensure reproducibility and scalability of models.
  • Collaborate with cross-functional teams (Product, Data Science, and Engineering) to translate business requirements into technical solutions.
  • Conduct rigorous A/B testing and evaluation of model outputs to ensure quality and safety.
  • Stay abreast of the latest research in NLP, LLMs, and Computer Vision.
  • Document technical architecture and contribute to the team's knowledge base.

Qualifications

  • Master’s or PhD in Computer Science, Machine Learning, or a related field.
  • 5+ years of professional experience in AI/ML engineering, specifically with Deep Learning frameworks.
  • Strong proficiency in Python, PyTorch, or TensorFlow.
  • Experience with vector databases (e.g., Pinecone, Milvus) and RAG (Retrieval-Augmented Generation) architectures.
  • Deep understanding of transformer models, attention mechanisms, and fine-tuning methodologies.
  • Excellent problem-solving skills and the ability to work in a fast-paced, agile environment.
  • Strong communication skills with the ability to explain complex technical concepts to non-technical stakeholders.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning LLM Generative AI MLOps NLP CUDA SQL

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