What are the responsibilities and job description for the Lead/ Architect AI Engineer (LLM / GenAI / MLOps) position at USG, Inc.?
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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