Home Job Details
N
Information Technology 🏢 Full Time ⭐️ Verified

Senior Generative AI Engineer

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

Job Description

Are you ready to architect the next generation of intelligent systems? Nexus Future AI is seeking a visionary Senior Generative AI Engineer to lead our R&D initiatives. We are building the foundational models that will define the technological landscape of 2026 and beyond. If you thrive in a fast-paced, high-impact environment and want to push the boundaries of Large Language Models (LLMs) and multimodal AI, we want to meet you.

Join us in transforming raw data into transformative intelligence and shape the future of human-machine interaction.

Responsibilities

  • Design, train, and fine-tune large-scale Generative AI models and Large Language Models (LLMs) using modern deep learning frameworks.
  • Architect scalable and efficient inference pipelines to deploy models in production environments.
  • Implement Retrieval-Augmented Generation (RAG) strategies to enhance model accuracy and reduce hallucinations.
  • Collaborate closely with data scientists and product managers to translate business requirements into technical solutions.
  • Optimize model performance through quantization, pruning, and distributed computing techniques.
  • Conduct cutting-edge research to explore emerging AI paradigms relevant to the 2026 technology horizon.

Qualifications

  • 5+ years of experience in software engineering, with a strong focus on machine learning and AI.
  • Proficiency in Python, PyTorch, TensorFlow, or JAX.
  • Deep understanding of NLP, transformer architectures, and state-of-the-art generative models.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
  • Strong mathematical background in linear algebra, calculus, and probability.
  • Excellent problem-solving skills and the ability to work independently in a remote-first environment.

Required Skills

Python PyTorch TensorFlow Large Language Models (LLMs) NLP Machine Learning Deep Learning AWS Docker Kubernetes RAG AI Engineering

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