GenAI Ops Engineer

Role: GenAI Ops Engineer
Location: Austin, TX

Job Description:
We are looking for a GenAI Ops Engineer to train, fine-tune, and deploy Generative AI models (LLMs, Diffusion Models, Transformers, etc.). You will optimize model performance, manage training pipelines, and integrate AI solutions into production.

Key Responsibilities:

• Train and fine-tune LLMs using PyTorch, DeepSpeed, and LoRA.
• Optimize inference using ONNX, vLLM, TensorRT, and GPU acceleration.
• Manage datasets, preprocess data, and implement RAG with vector databases (FAISS, Chroma, Pinecone).
• Automate training workflows using ML flow, Weights & Biases, and Ray.
• Deploy models using Kubernetes, Docker, and cloud AI services AWS or GCP.
• Monitor model performance, mitigate drift, and optimize resource utilization.

Requirements:

• Experience with LLM training, fine-tuning, and inference optimization.
• Proficiency in Python, cloud AI services, and distributed training.
• Familiarity with retrieval-augmented generation (RAG) and prompt engineering.
• Strong problem-solving skills and ability to work in fast-paced AI environments.

Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.