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Senior Generative AI Engineer

Apex Innovations Inc.
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

We are on a mission to build the next generation of intelligent systems. Apex Innovations Inc. is looking for a visionary Senior Generative AI Engineer to join our elite engineering team. If you are passionate about Large Language Models (LLMs), vector databases, and the future of AI, we want to hear from you.

In this role, you will lead the development of state-of-the-art generative models, optimizing them for real-world applications. You will work closely with cross-functional teams to integrate AI solutions that drive business value and enhance user experiences.

Why Join Us?

  • Competitive salary and equity package.
  • Flexible remote-first culture with quarterly in-person meetups.
  • Top-tier benefits and professional development budget.

Responsibilities

  • Design, train, and fine-tune large-scale generative models (e.g., GPT, LLaMA, Claude) using PyTorch and TensorFlow.
  • Build and optimize Retrieval-Augmented Generation (RAG) pipelines to enhance model accuracy and reduce hallucinations.
  • Implement best practices for prompt engineering and model evaluation to ensure high-quality outputs.
  • Deploy scalable machine learning infrastructure on cloud platforms (AWS/GCP) using Kubernetes and Docker.
  • Mentor junior engineers and contribute to the technical roadmap for AI initiatives.
  • Collaborate with product managers to define AI feature requirements and success metrics.

Qualifications

  • Master’s or PhD in Computer Science, Machine Learning, or a related technical field.
  • 5+ years of experience in software engineering and machine learning, with 2+ years specifically in Generative AI.
  • Proficiency in Python and deep learning frameworks (PyTorch, TensorFlow, JAX).
  • Strong understanding of transformer architectures, attention mechanisms, and natural language processing.
  • Experience with vector databases (Pinecone, Milvus, Weaviate) and model serving platforms (vLLM, Hugging Face Inference).
  • Experience with cloud infrastructure (AWS, GCP, Azure) and containerization (Docker, Kubernetes).

Required Skills

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

Ready to Take This Challenge?

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