AI engineer

Ethereum Technologies; Dallas (TX); On-site; USD 120,000 - 180,000; Full time

Job summary

Ethereum Technologies in Dallas, TX is seeking an AI/ML engineer to design and deploy AI systems, including LLMs, embeddings, and vector databases. You will prototype agentic applications, evaluate model safety, and collaborate with business partners to scale solutions for production.

Responsibilities include data preparation, synthetic data strategies, exploring GenAI, and staying current with AI trends to inform productization.

Qualifications

• Requires strong Python and API integration capabilities.
• Experience designing and evaluating AI/ML systems.
• Familiarity with LLM deployment and agentic architectures.

Responsibilities

• Deploy AI/LLM and agentic applications for proof-of-concept demonstrations; assist in scaling solutions for production.
• Explore traditional AI, GenAI, and AgenticAI.
• Collaborate with AI Business Partners to align solutions with business needs.

Skills

Python

APIs

ML frameworks

LangChain

Prompt engineering

Model evaluation

AI architecture design

Data preparation

Synthetic data

Tools

GitHub Copilot

Codex

Claude Code

ChatGPT

MS Copilot

LangChain

Job description

• - Programming & Frameworks: Python, APIs, ML frameworks, andAItools (GitHub Copilot, Codex, Claude Code, LangChain, ADK, ChatGPT, MS Copilot).
• -AI/ML Systems: LLMs (OpenAI GPTs, GoogleAI, Claude), embeddings, and vector databases.
• - APIs: Building and managing integrations.
• - Core Competencies: PromptEngineering, Model Evaluation & Design, andAIArchitecture Design.
• - Data: Preparation and generation.
• - Cloud Services: AWS and GCP.
• - Conduct R&D onAI/ML technologies and architectures.
• - DeployAI/LLM and agentic applications for proof-of-concept demonstrations; assist in scaling solutions for production.
• - Explore and implement traditionalAI, GenAI, and AgenticAI.
• - Stay current onAItrends and evangelize emerging technologies.
• - Evaluate and pilot third-partyAIsolutions for scalability and business value.
• - Prototype solutions to inform future productization.
• - Collaborate on data preparation and synthetic data generation strategies.
• - Validate model performance, safety, and operational readiness.
• - Contribute toAIsystem architecture and manage workflows in cloud environments.
• - Collaborate withAIBusiness Partners.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.