AI Engineer - Python/Java ML/AI

Ethereum Technologies LLC; Austin (TX); On-site; USD 110,000 - 170,000; Full time

Job summary

Ethereum Technologies LLC in Austin, TX is seeking an accomplished AI/ML engineer to design and deploy applications that leverage LLMs and structured retrieval. You will develop practical systems, balancing tradeoffs to deliver robust, scalable AI-powered solutions.

Ideal candidates have an applied data science background, experience building and integrating applications with LLMs, and familiarity with vector/graph databases. You will translate findings into clear guidance for engineering teams.

Qualifications

• Applied data science coursework or equivalent hands-on experience.
• Ability to design and deliver applications with tradeoffs in mind.
• Experience building and integrating apps with LLMs.
• Familiarity with vector/graph databases or similar retrieval tech.
• Ability to teach AI engineering practices to other engineers.

Skills

Applied data science

Systems design tradeoffs

LLM integration

Vector/graph databases

AI engineering practices

Strong communication

Tools

Hugging Face

PyTorch

LangChain

MCP

Transformers

Datasets

Job description

• Applied data science background (degree coursework, immersive bootcamp, or equivalent applied experience).
• Proven ability to design and deliver applications, with experience making practical systems design tradeoffs.
• Experience building and integrating applications with LLMs.
• Experience with vector databases, graph databases, or other structured retrieval approaches.
• Ability to explain and apply AI engineering practices (retrieval, context management, evaluation methods, MLOps
• patterns) to other engineers.
• Strong communication skills to translate technical findings into clear guidance.

Preferred Qualifications

• Ability to rapidly learn and apply new model capabilities and emerging AI research.
• Ability to design and execute experiments with clear hypotheses, baselines, and success criteria.
• Experience designing and running LLM evaluation pipelines that combine quantitative and qualitative methods, balance
• precision–recall tradeoffs, and align metrics with user workflows.
• Familiarity with Hugging Face ecosystem (Transformers, Datasets, evaluation libraries).
• Experience with PyTorch for fine-tuning, evaluation, and lightweight model training.
• Experience implementing a variety of model integration approaches such as LangChain and MCP .

ETHEREUM TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. ETHEREUM TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will ETHEREUM TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract