AI Engineer - Python/Java ML/AI

Quantum Technologies. LLC; Austin (TX); On-site; USD 90,000 - 120,000; Full time

Job summary

A leading technology firm in Austin, Texas, is looking for a qualified candidate with a strong applied data science background to design and deliver applications integrating LLMs. The role requires the ability to explain complex AI engineering practices clearly and adapt to new research effectively. If you possess experience building integrated applications using vector databases and a solid understanding of the Hugging Face ecosystem, this opportunity could be for you.

Qualifications

• Background in applied data science through education or experience.
• Proven ability in application design with practical system trade-offs.
• Knowledge of AI engineering practices and their application.

Skills

Applied data science background

Application design and delivery

Experience with LLMs

Vector and graph databases

Explaining AI engineering practices

Strong communication skills

Tools

Hugging Face

PyTorch

Job description

Qualifications

• 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.

QUANTUM 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. QUANTUM 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 QUANTUM 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