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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Engineer

Apex Future Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
11 Mei 2026
Deadline
11 Mei 2027

Job Description

We are looking for a visionary Senior AI Engineer to join Apex Future Technologies. As a leader in next-generation neural architectures, we are building the intelligence layer for the global economy. If you are passionate about pushing the boundaries of Large Language Models (LLMs) and Generative AI, this is your opportunity to define the future.

In this role, you will not just write code; you will architect the cognitive core of our products. You will work in a high-performance environment where technical excellence is paramount, and innovation is rewarded.

Why Join Us?

  • Competitive compensation package ($180k - $260k).
  • Equity participation in a Series A growth-stage company.
  • Flexible remote-first policy with access to premium tech infrastructure.
  • Unlimited PTO and comprehensive health benefits.

Responsibilities

  • Design, develop, and deploy state-of-the-art Machine Learning models and AI agents at scale.
  • Optimize neural network inference and training pipelines for low-latency, high-throughput environments.
  • Collaborate with cross-functional teams including data scientists, product managers, and designers to translate business requirements into technical solutions.
  • Conduct rigorous A/B testing and model evaluation to ensure robustness and accuracy.
  • Mentor junior engineers and contribute to the engineering culture and codebase standards.
  • Stay abreast of the latest research in deep learning, NLP, and computer vision.

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 and machine learning.
  • Strong proficiency in Python, PyTorch, TensorFlow, or JAX.
  • Extensive experience with LLMs (GPT, BERT, Llama), RAG architectures, and fine-tuning techniques.
  • Deep understanding of distributed systems, cloud infrastructure (AWS/GCP), and containerization (Docker/Kubernetes).
  • Excellent problem-solving skills and ability to thrive in a fast-paced, ambiguous environment.

Required Skills

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

Ready to Take This Challenge?

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

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