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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Engineer - Generative AI

Nexus Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
1 Juni 2026
Deadline
1 Jun 2027

Job Description

The Future is Here. Nexus Dynamics is at the forefront of the next industrial revolution. We are looking for a visionary Senior AI Engineer to lead our generative AI initiatives. If you are passionate about building intelligent systems that scale and redefine user experiences, we want to meet you.


As a key member of our elite technical team, you will architect the neural networks powering our next-generation products. You will work in a hybrid environment that values creativity, technical excellence, and rapid iteration.


Why Join Us?
- Competitive equity package and annual bonus.
- Top-tier health and wellness benefits.
- Access to the latest hardware for AI research.

Responsibilities

  • Architect LLM Solutions: Design, train, and deploy state-of-the-art Large Language Models and Generative AI agents tailored for enterprise use cases.
  • RAG Pipelines: Build robust Retrieval-Augmented Generation systems to enhance model accuracy and reduce hallucinations.
  • Model Optimization: Fine-tune open-source models (e.g., LLaMA, Mistral) and optimize inference latency for production environments.
  • Collaboration: Partner with product managers and data scientists to translate complex business requirements into technical AI solutions.
  • Ethical AI: Implement guardrails and safety protocols to ensure AI outputs adhere to ethical guidelines and regulatory standards.
  • Research: Stay ahead of the curve by exploring emerging trends in multi-modal AI and agentic workflows.

Qualifications

  • Education: Bachelor’s or Master’s degree in Computer Science, Machine Learning, or a related field.
  • Experience: 5+ years of experience in software engineering with a focus on Artificial Intelligence or Machine Learning.
  • Technical Stack: Proficiency in Python, PyTorch, TensorFlow, and experience with cloud platforms (AWS/GCP/Azure).
  • AI Expertise: Deep understanding of Transformer architectures, tokenization strategies, and fine-tuning methodologies.
  • Problem Solving: Proven track record of solving complex technical challenges in high-scale environments.
  • Communication: Excellent written and verbal communication skills with the ability to explain complex concepts to non-technical stakeholders.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP LLMs Generative AI RAG Cloud Computing AWS GCP

Ready to Take This Challenge?

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