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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Engineer

Apex Dynamics
San Francisco
Estimated Salary
USD 160.000 – USD 240.000
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

We are seeking a visionary Senior AI Engineer to join Apex Dynamics and lead our next-generation machine learning initiatives. In this pivotal role, you will design, train, and deploy scalable AI models that drive our core product offerings and redefine user experiences.


Why Join Apex Dynamics?

  • Work with state-of-the-art Large Language Models (LLMs) and Generative AI.
  • Competitive salary and equity package in the heart of San Francisco.
  • Flexible remote-first work culture.

At Apex Dynamics, we believe in pushing the boundaries of what is possible with artificial intelligence. You will have the autonomy to experiment, innovate, and impact millions of users globally.

Responsibilities

  • Model Development: Design and implement end-to-end machine learning pipelines from data ingestion to model deployment.
  • Optimization: Fine-tune existing models for production environments, focusing on latency, throughput, and cost-efficiency.
  • Research: Stay abreast of the latest AI research and integrate cutting-edge techniques into our architecture.
  • Collaboration: Partner with product managers and software engineers to translate business requirements into technical AI solutions.
  • Mentorship: Mentor junior engineers and data scientists, fostering a culture of continuous learning and technical excellence.
  • Infrastructure: Collaborate with DevOps teams to ensure scalable and secure cloud infrastructure for AI workloads.

Qualifications

  • Education: Master’s or PhD in Computer Science, Statistics, Mathematics, or a related technical field.
  • Experience: 5+ years of professional experience in AI/ML engineering.
  • Programming: Strong proficiency in Python and deep learning frameworks (PyTorch, TensorFlow, or JAX).
  • NLP Expertise: Deep understanding of Natural Language Processing and Large Language Models.
  • Tools: Experience with cloud platforms (AWS, GCP, or Azure) and containerization tools (Docker, Kubernetes).
  • Communication: Excellent verbal and written communication skills for technical and non-technical stakeholders.

Required Skills

Python Machine Learning Deep Learning NLP LLMs PyTorch TensorFlow AWS Docker Kubernetes Python

Ready to Take This Challenge?

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