Full-Stack Software Engineer (Backend & AI Focus)

Company: Yoh, A Day & Zimmermann Company

Location: Mountain View, CA (Remote)

Type: Full-time

Remote: Yes

Posted: 2026-07-24

About this role

Full-Stack Software Engineer (Backend & AI Focus)
Seeking experienced Full-Stack Software Engineers with a strong emphasis on backend development, cloud infrastructure, and applied AI. While the role includes full-stack responsibilities, the majority of work will focus on designing, developing, and deploying scalable backend services and AI-enabled applications. Ideal candidates are highly proficient Python developers who thrive in fast-paced, ambiguous environments and have experience delivering production-grade AI solutions.


Scope:
• Design, develop, and maintain scalable full-stack applications with a primary focus on backend services.

• Build and integrate AI-powered capabilities using modern Large Language Models (LLMs) and related frameworks.

• Develop cloud-native applications and services utilizing Google Cloud Platform (GCP).

• Collaborate with cross-functional teams to design, implement, test, and deploy new features.

• Participate in architecture discussions, code reviews, and continuous improvement of development practices.

• Support production environments through monitoring, troubleshooting, and ongoing optimization.


Required:
Software Engineering:
• Strong full-stack software development experience with emphasis on backend architecture and distributed systems.

• Expert-level Python development experience building scalable applications and services.

• Experience with modern frontend technologies and data management, including NoSQL databases such as Firestore.

AI & Machine Learning:
• Experience integrating Large Language Models (LLMs) into production software applications.

• Familiarity with agentic AI concepts, tool use, orchestration, and reasoning workflows.

• Experience with Python AI frameworks such as LangChain or similar.

• Demonstrated use of AI-assisted development tools to improve software engineering productivity.

Cloud & DevOps:
• Experience deploying and managing appl...

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