Hybrid AI & Full-Stack Engineer - Applied AI Solutions

QualityAI; San Francisco (CA); Hybrid; USD 200,000 - 250,000; Full time

Benefits offered by this job

Diversity & inclusion focus

Internal rotation & mobility

Career growth opportunities

Flexible casual culture

QualityAI Tech academy training

Client/Employee referral bonuses

Competitive base salary

Job summary

QualityAI is seeking a Full-Stack AI Engineer to build applied AI and agentic solutions in a hands-on, production-focused role. The position offers hybrid work in the San Francisco Bay Area or New York City and involves turning concepts into real tools that empower cross-functional teams.

You will work across front-end (JavaScript/TypeScript) and back-end (Python, C++, Java, Go) stacks, collaborate with stakeholders, and ship production-grade AI applications.

Qualifications

• Strong full-stack engineering experience across modern front-end and back-end stacks.
• Experience building AI-powered applications and agentic solutions.
• Ability to work directly with stakeholders, solve complex problems, and ship real solutions.

Responsibilities

• Architect & migrate: analyze program structures and migrate into data models using automated, scripted, or agentic approaches.
• Build & deploy: act as embedded builders delivering production-grade AI tools to boost multi-functional team productivity.
• Collaborate with cross-functional teams to translate requirements into production-ready features.

Skills

Full-stack engineering

JavaScript/TypeScript

Python

Java

Go

C++

AI-powered applications

Agentic solutions

Stakeholder collaboration

Agentic workflows

Job description

QualityAI is seeking a Full-Stack AI Engineer to build applied AI and agentic solutions in a hands-on, production-focused role. The position offers hybrid work in the San Francisco Bay Area or New York City and involves turning concepts into real tools that empower cross-functional teams.

You will work across front-end (JavaScript/TypeScript) and back-end (Python, C++, Java, Go) stacks, collaborate with stakeholders, and ship production-grade AI applications.