Applied AI Engineer: LLMs, Retrieval & MLOps

Quantum Technologies. LLC; Austin, Northern (TX, KY); Hybrid; USD 120,000 - 160,000; Full time

Benefits offered by this job

Equal opportunity employer

Job summary

QUANTUM TECHNOLOGIES LLC is seeking an AI/ML-focused engineer to design, implement, and integrate production-grade AI powered applications in a fast-paced environment.

The role emphasizes building practical systems, evaluating model capabilities, and collaborating with engineers to translate complex findings into actionable guidance. Equity-friendly growth and an inclusive team culture are highlighted throughout the posting.

Qualifications

• Applied data science background through 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.

Skills

Data science background

Systems design thinking

LLM integration

Vector databases

Graph databases

Retrieval systems

MLOps patterns

Communication skills

Tools

Hugging Face

PyTorch

LangChain

MCP

Job description

QUANTUM TECHNOLOGIES LLC is seeking an AI/ML-focused engineer to design, implement, and integrate production-grade AI powered applications in a fast-paced environment.

The role emphasizes building practical systems, evaluating model capabilities, and collaborating with engineers to translate complex findings into actionable guidance. Equity-friendly growth and an inclusive team culture are highlighted throughout the posting.