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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Engineer - 2025

Apex Horizon Systems
San Francisco
Estimated Salary
USD 160.000 – USD 240.000
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

Are you ready to define the future of intelligent systems? Apex Horizon Systems is seeking a visionary Senior AI Engineer to join our elite engineering team in San Francisco. We are building the next generation of autonomous agents and generative AI solutions, and we need a technical leader who thrives in ambiguity and drives innovation.

In this role, you will not just write code; you will architect the neural architectures that power our enterprise clients. You will work directly with C-level stakeholders to translate complex business challenges into elegant machine learning solutions.

Why join us?

  • Impact: Deploy models that affect millions of users daily.
  • Autonomy: Work in a flat hierarchy where your ideas matter.
  • Compensation: Competitive base salary plus performance equity bonuses.

Responsibilities

  • Design & Architecture: Lead the design and implementation of scalable machine learning pipelines and deep learning models using Python and PyTorch.
  • Model Optimization: Fine-tune large language models (LLMs) and transformers to ensure high accuracy, low latency, and cost efficiency.
  • Research & Development: Stay at the forefront of AI research, experiment with novel architectures, and implement cutting-edge techniques.
  • Collaboration: Partner with product managers and software engineers to integrate AI capabilities seamlessly into production applications.
  • Deployment: Oversee the MLOps lifecycle, including CI/CD, monitoring, and model retraining strategies.

Qualifications

  • Education: Master’s degree or Ph.D. in Computer Science, Mathematics, or a related field.
  • Experience: 5+ years of professional experience in AI/ML engineering, with at least 2 years focused on Deep Learning or NLP.
  • Technical Skills: Proficiency in Python, TensorFlow, PyTorch, and Scikit-learn.
  • LLM Knowledge: Strong understanding of transformer architectures, fine-tuning methodologies (LoRA, PEFT), and RAG pipelines.
  • Tools: Experience with cloud platforms (AWS/GCP) and containerization tools (Docker/Kubernetes).

Required Skills

Python PyTorch TensorFlow NLP Machine Learning Deep Learning AWS Docker Kubernetes LLM Generative AI

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

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