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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Engineer (Generative AI Specialist)

Nexus AI Solutions
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
25 Mei 2026
Deadline
25 Mei 2027

Job Description

Are you ready to architect the next generation of intelligent systems? Nexus AI Solutions is looking for a visionary Senior AI Engineer to lead our cutting-edge Generative AI initiatives. In this pivotal role, you will design and deploy state-of-the-art Large Language Models (LLMs) and autonomous agentic workflows that redefine industry standards.

We are not just building software; we are defining the future of human-machine interaction. You will collaborate with world-class researchers and engineers to solve complex problems in NLP, computer vision, and ethical AI deployment. If you thrive in a fast-paced, high-impact environment and possess a deep understanding of transformer architectures, we want to hear from you.

Responsibilities

  • Architect and fine-tune large-scale foundation models using PyTorch and TensorFlow.
  • Design and implement Retrieval-Augmented Generation (RAG) pipelines to enhance model accuracy and context awareness.
  • Optimize inference latency and reduce operational costs for high-volume AI deployments.
  • Collaborate with product teams to translate complex business requirements into robust AI solutions.
  • Establish best practices for model monitoring, versioning, and MLOps pipelines.
  • Research and evaluate emerging AI technologies to keep our stack at the forefront of innovation.

Qualifications

  • Master’s degree or PhD in Computer Science, Machine Learning, or a related quantitative field (or equivalent practical experience).
  • 5+ years of professional experience in building and deploying machine learning models.
  • Deep expertise in Python, including frameworks such as LangChain, Hugging Face, and PyTorch.
  • Proven track record of working with LLMs (GPT-4, Llama 3, Claude) and fine-tuning techniques.
  • Strong understanding of MLOps, Docker, Kubernetes, and cloud infrastructure (AWS/GCP).
  • Experience with vector databases (Pinecone, Weaviate, Milvus) for semantic search applications.
  • Excellent communication skills with the ability to explain complex technical concepts to non-technical stakeholders.

Required Skills

Python PyTorch TensorFlow Large Language Models (LLMs) MLOps Machine Learning Generative AI NLP Docker Kubernetes AWS GCP LangChain Hugging Face

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