AI Engineer - Python/Java ML/AI

Cloud Hybrid Technologies, LLC; Austin (TX); On-site; Full time

Job summary

A technology company is seeking an AI Engineer with a solid background in applied data science and the ability to design and integrate applications with large language models. The ideal candidate should have strong communication skills to effectively translate technical concepts and experience with AI engineering practices. Familiarity with the Hugging Face ecosystem and PyTorch is preferred. This role offers an inclusive work environment and opportunities for growth.

Qualifications

• Proven ability to design and deliver applications with practical design tradeoffs.
• Experience integrating applications with LLMs.
• Ability to explain AI engineering practices to other engineers.

Skills

Applied data science background

Experience building applications

AI engineering practices

Strong communication skills

Ability to learn new model capabilities

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 .

Cloud Hybrid 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. Cloud Hybrid 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 Cloud Hybrid 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