Senior GenAI & ML Engineer (LLM Production & Cloud)

Ethereum Technologies; Austin (TX); On-site; USD 150,000 - 230,000; Full time

Job summary

Ethereum Technologies LLC is seeking a senior ML Engineer to lead GenAI initiatives, architect end-to-end models, and deploy scalable AI pipelines on AWS. You will collaborate with product and data teams, communicate results to executives, and drive model optimization for safe, high-quality outputs.

Ideal candidates have 10+ years in ML, 1–2 years in GenAI/NLP, strong Python and DL framework skills, plus experience with Docker, Kubernetes, LangChain, and AWS services.

Qualifications

• 10+ years of ML engineering experience.
• 1–2 years focused on Generative AI or NLP projects; AWS experience.
• Proficiency in Python and DL frameworks; solid software engineering habits.
• Strong communication and stakeholder management skills.
• Experience with AWS SageMaker, Bedrock, and CI/CD for ML workflows.

Responsibilities

• Architect, fine-tune, and deploy GenAI models and techniques.
• Build and maintain scalable ML pipelines and GPU-based inference in cloud environments (AWS).
• Collaborate with product managers, data scientists, and engineers to translate requirements into specs.
• Present AI methodologies and trade-offs to non-technical leadership and stakeholders.
• Optimize models with prompt engineering and testing for safe, high-quality outputs.
• Stay current with GenAI research and integrate new advances into production.

Skills

Python

AWS Cloud

GenAI / NLP

MLOps

Communication

Education

Engineering degree (CS/CE)

ML Certification

Tools

PyTorch

TensorFlow

Docker

Kubernetes

LangChain

GitHub Copilot

Vector Databases

Job description

Ethereum Technologies LLC is seeking a senior ML Engineer to lead GenAI initiatives, architect end-to-end models, and deploy scalable AI pipelines on AWS. You will collaborate with product and data teams, communicate results to executives, and drive model optimization for safe, high-quality outputs.

Ideal candidates have 10+ years in ML, 1–2 years in GenAI/NLP, strong Python and DL framework skills, plus experience with Docker, Kubernetes, LangChain, and AWS services.