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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Engineer (GenAI Focus)

Apex Dynamics
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
Live Update
5 Juli 2026
Deadline
5 Jul 2027

Job Description

Are you ready to define the future of intelligent systems?

Apex Dynamics is seeking a visionary Senior AI Engineer to join our elite R&D team in San Francisco. We are building the next generation of Large Language Models and autonomous agents designed to revolutionize enterprise operations by 2026. If you thrive on complexity, possess deep technical expertise, and want to work on projects that shape the technological landscape, we want to meet you.

Our culture is built on innovation, transparency, and the relentless pursuit of excellence. You will collaborate with world-class researchers and engineers to push the boundaries of what is possible in Natural Language Processing and Machine Learning.

Responsibilities

  • Architect and deploy scalable Machine Learning pipelines using Python and modern cloud infrastructure.
  • Research and implement state-of-the-art algorithms in NLP, specifically focusing on LLM fine-tuning and RAG (Retrieval-Augmented Generation).
  • Optimize model inference performance and reduce latency for real-time applications.
  • Mentor junior engineers and conduct code reviews to maintain high engineering standards.
  • Collaborate with product teams to translate complex AI capabilities into user-centric features.
  • Stay ahead of industry trends in AI, contributing insights to our technical strategy.

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Mathematics, or a related field (PhD preferred).
  • 5+ years of professional experience in software engineering or machine learning.
  • Strong proficiency in Python, PyTorch, or TensorFlow.
  • Deep understanding of Deep Learning architectures, Transformers, and Attention mechanisms.
  • Experience with MLOps tools (Docker, Kubernetes, MLflow) and cloud platforms (AWS, GCP, or Azure).
  • Excellent problem-solving skills and the ability to work in a fast-paced, agile environment.

Required Skills

Python PyTorch TensorFlow NLP Machine Learning MLOps Cloud Computing Docker Kubernetes

Ready to Take This Challenge?

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