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Artificial Intelligence 🏒 Full Time ⭐️ Verified

Senior AI & LLM Engineer - Shaping the Future

Apex Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
14 Mei 2026
Deadline
14 Mei 2027

Job Description

Are you ready to build the intelligence of tomorrow?

Apex Dynamics is on the cutting edge of technology, pioneering the next generation of autonomous agents and Large Language Models (LLMs). We are looking for a visionary Senior AI Engineer to join our elite team in San Francisco. If you are passionate about pushing the boundaries of generative AI, vector databases, and autonomous systems, we want to hear from you.

In this role, you will not just write code; you will architect the cognitive infrastructure that powers our enterprise solutions. You will work directly with leadership to define technical roadmaps, ensuring our products remain at the forefront of the industry by 2026 and beyond.

Why join us?

  • Work with state-of-the-art tech stack (PyTorch, TensorFlow, LangChain).
  • Competitive equity and benefits package.
  • Hybrid work environment in the heart of the tech hub.

Responsibilities

  • Design, train, and fine-tune large-scale language models and multimodal systems.
  • Architect scalable AI pipelines for data ingestion, processing, and inference.
  • Implement advanced Retrieval-Augmented Generation (RAG) architectures to enhance model accuracy.
  • Optimize model performance for latency and throughput in production environments.
  • Collaborate with product teams to translate complex AI capabilities into user-friendly features.
  • Ensure AI systems adhere to ethical guidelines and safety protocols.
  • Stay ahead of industry trends, conducting research to integrate emerging AI paradigms.

Qualifications

  • PhD or Master’s degree in Computer Science, Machine Learning, or a related field (or equivalent practical experience).
  • 5+ years of professional experience in Machine Learning, Deep Learning, or NLP.
  • Proficiency in Python and frameworks such as PyTorch or TensorFlow.
  • Strong understanding of Natural Language Processing (NLP) techniques and transformers.
  • Experience with vector databases (e.g., Pinecone, Milvus, Weaviate).
  • Proven track record of deploying ML models to production at scale.
  • Excellent problem-solving skills and the ability to work in a fast-paced, agile environment.

Required Skills

Python PyTorch TensorFlow NLP LLM Machine Learning Deep Learning Vector Databases RAG Data Engineering Agile

Ready to Take This Challenge?

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

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