Lead/ Architect AI Engineer (LLM / GenAI / MLOps)

San Francisco, CA, US • Posted 14 hours ago • Updated 10 hours ago
Contract Corp To Corp
Contract Independent
Contract W2
No Travel Required
On-site
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Data Processing
  • Performance Tuning
  • docker
  • Governance
  • Amazon Web Services
  • Machine learning
  • Kubernetes
  • Microsoft Azure
  • Cloud Computing
  • Apache Spark
  • Continuous Integration
  • Deep learning
  • Artificial intelligence
  • pytorch
  • TensorFlow
  • software engineering
  • FastAPI
  • XGBoost
  • Machine Learning Operations
  • Generative AI
  • Safety Principles
  • Python (Programming Language)
  • Prompt Engineering
  • Large Language Models
  • Scikit Learn
  • Open Source Technology
  • Knowledge of Mathematics
  • Generation of Leads
  • Recommender Systems

Summary

Job Title: Lead/ Architect AI Engineer (LLM / GenAI / MLOps)

Location: San Francisco, CA (Onsite)
 


Job Description:

We are seeking a highly experienced AI Engineer / Technical Leader to architect and scale advanced AI systems, combining traditional machine learning with cutting-edge Generative AI and Large Language Models (LLMs).


Key Responsibilities:

  • Design and scale ML pipelines and Generative AI applications
  • Lead development of LLM-based solutions using RAG, prompt engineering, and fine-tuning (LoRA/PEFT)
  • Train and optimize machine learning models, classifiers, and recommendation systems
  • Oversee MLOps lifecycle including CI/CD, deployment, monitoring, and drift detection
  • Ensure AI safety, governance, and performance optimization
  • Mentor junior engineers and drive AI best practices

Required Skills:

  • 8–10 years of experience in Machine Learning / Software Engineering
  • 4+ years deploying deep learning models in production
  • Strong expertise in Python, PyTorch or TensorFlow
  • Hands-on experience with LLM ecosystem:
    • LangChain / LlamaIndex
    • Vector DBs (Pinecone, Weaviate)
    • Inference optimization (vLLM, quantization)
  • Strong background in ML & data processing (scikit-learn, XGBoost, Spark, Ray)
  • Experience with MLOps & Cloud (AWS / GCP / Azure, Docker, Kubernetes, MLflow, FastAPI)

Preferred Qualifications:

  • Experience with multi-modal AI models
  • Contributions to open-source AI projects
  • Knowledge of AI guardrails and governance frameworks
  • Advanced degree (Master’s or Ph.D.) in CS, AI, Math, or related field

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Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10204540
  • Position Id: 84998-2308-
  • Posted 14 hours ago
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