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Senior AI Engineer (Generative AI)

Lumina Systems
San Francisco
Estimated Salary
USD 180.000 – USD 240.000
New
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

We are seeking a visionary Senior AI Engineer to join our elite team at Lumina Systems. As we prepare for the transformative era of 2026, you will be at the forefront of developing next-generation Large Language Models (LLMs) and multimodal systems.

Our mission is to redefine human-computer interaction through cutting-edge technology. You will work in a high-performance environment, collaborating with world-class researchers and engineers to deploy scalable, secure, and efficient AI solutions that power the future.

Why Join Us?

  • Work with state-of-the-art Generative AI technology.
  • Competitive salary and equity package.
  • Flexible remote and hybrid work options.

Responsibilities

  • Design, train, and fine-tune state-of-the-art Generative AI models.
  • Implement Retrieval-Augmented Generation (RAG) pipelines to enhance model accuracy and reduce hallucinations.
  • Optimize inference latency and reduce token costs for large-scale deployments.
  • Collaborate with product teams to translate technical requirements into production-ready AI features.
  • Establish best practices for model evaluation, bias mitigation, and safety alignment.
  • Stay abreast of the latest research in NLP and Deep Learning.

Qualifications

  • Master’s degree or PhD in Computer Science, Mathematics, or a related field.
  • 3+ years of professional experience in Machine Learning or Deep Learning.
  • Strong proficiency in Python and frameworks such as PyTorch or TensorFlow.
  • Experience with Hugging Face Transformers, LangChain, or vector databases (Pinecone, Milvus, Weaviate).
  • Deep understanding of NLP concepts, Transformer architectures, and attention mechanisms.
  • Experience deploying models to production environments using Docker and Kubernetes.

Required Skills

Python PyTorch TensorFlow NLP Large Language Models Machine Learning Deep Learning Docker Kubernetes RAG Hugging Face

Ready to Take This Challenge?

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