Senior ML Engineer — Production AI & Pipelines

Q2; Austin (TX); Hybrid; USD 140,000 - 190,000; Full time

Benefits offered by this job

Hybrid Work Opportunities

Flexible Time Off

Career Development & Mentoring

Health & Wellness Benefits

Parental Leave

Volunteer Programs

You Earned it

Job summary

Q2 is a leading provider of digital banking and lending solutions to banks, credit unions, and fintechs in the U.S. and internationally.

As a Machine Learning Engineer, you will design and deliver production-ready AI solutions, develop tools, APIs, and backend services that enable them, and help shape the future of our AI platform. From evaluation frameworks and deployment pipelines to agentic workflows, you will work across the stack to turn innovation into customer value.

Qualifications

• Bachelor’s degree in a relevant field; 5+ years of software/ML/AI experience.
• Proven ownership of production ML/AI systems.
• Strong Python and backend experience; familiarity with C#, Java, or TypeScript is helpful.

Responsibilities

• Design, build, and deliver production-ready AI capabilities and services.
• Develop scalable APIs, microservices, data integrations, and backend systems.
• Build and improve the infrastructure surrounding AI systems, including monitoring and testing.
• Prototype and evaluate emerging AI technologies, including LLMs and agentic workflows.
• Work across cloud infrastructure and data platforms to integrate AI capabilities.

Skills

Python

API design

Microservices

Cloud infrastructure

Kubernetes

Docker

ML/AI systems

LLM / agent workflows

Ownership

Team collaboration

Education

Bachelor’s degree in a relevant field

Advanced degree (MS/PhD)

Tools

Kubernetes

Docker

MLOps

Job description

Q2 is a leading provider of digital banking and lending solutions to banks, credit unions, and fintechs in the U.S. and internationally.

As a Machine Learning Engineer, you will design and deliver production-ready AI solutions, develop tools, APIs, and backend services that enable them, and help shape the future of our AI platform. From evaluation frameworks and deployment pipelines to agentic workflows, you will work across the stack to turn innovation into customer value.