Senior ML Engineer — MLOps, Prompting & Cloud AI

Quantum Technologies. LLC; Plano (TX); On-site; USD 150,000 - 190,000; Full time

Job summary

Quantum Technologies. LLC is seeking an experienced ML Engineer with 7-8 years of total experience, including 5 years as a hands-on contributor.

The role focuses on leading ML engineering efforts, coordinating with teams, and applying advanced prompting strategies like CoT/ToT and Graph-of-Thought in production ML workflows. The ideal candidate will have strong MLOps experience across AWS SageMaker, Bedrock, GCP or Azure, plus solid software lifecycle and agile practices.

Qualifications

• 7-8 years total experience in ML engineering
• 5+ years as an individual contributor in ML engineering
• Experience leading ML/AI teams or projects
• Hands-on with agent-based workflows, MCP, RAG and context engineering
• Familiar with CoT/ToT/Graph-of-Thought prompting strategies
• Experience with MLOps and cloud platforms (AWS SageMaker, Bedrock, GCP, Azure)
• Ability to set clear OKRs aligned with business needs
• Proficiency with GitHub and SDLC practices

Skills

Team leadership in ML

Agent-based workflows

CoT/ToT prompting

MLOps on cloud

GitHub

SDLC / Agile / Data eng

Job description

Quantum Technologies. LLC is seeking an experienced ML Engineer with 7-8 years of total experience, including 5 years as a hands-on contributor.

The role focuses on leading ML engineering efforts, coordinating with teams, and applying advanced prompting strategies like CoT/ToT and Graph-of-Thought in production ML workflows. The ideal candidate will have strong MLOps experience across AWS SageMaker, Bedrock, GCP or Azure, plus solid software lifecycle and agile practices.