AI-Native Software Engineer: Production-Ready Full Stack

Accenture; United States; Remote; USD 39.000 - 156.000; Vollzeit

Zusammenfassung

Accenture is seeking a software engineer who helps design, build, and run production systems with AI at the core. You will own features end-to-end, collaborate across frontend, backend, and data, and ship reliable software in a client-facing environment.

You will apply cloud-native practices using Docker and Kubernetes, contribute to CI/CD pipelines, and integrate AI models via APIs and tooling, while maintaining security and performance standards.

Qualifikationen

• Minimum 3 years of professional software engineering experience building production software.
• 3+ years across multiple stack layers (frontend and API, or services and data).
• 3+ years in at least one major language (Java, Python, Go, TypeScript/JavaScript, or C#).
• 3+ years with a major cloud platform (AWS, Azure, or GCP).
• 1+ year building AI-enabled features or agent workflows.
• Bachelor’s degree in CS/Engineering (or 6+ years if no degree).

Aufgaben

• Design, implement, and ship production features end-to-end across front end, APIs, and data.
• Iterate quickly with stakeholders while maintaining production quality and security.
• Contribute to CI/CD pipelines, tests, and automated quality checks.
• Work with AI models via APIs, tool calls, and retrieval/context engineering.
• Collaborate in design/code reviews and share reusable patterns with the team.

Kenntnisse

Software engineering

Cloud platforms

AI-enabled features

CI/CD

Ausbildung

Bachelor's degree in Computer Science, Engineering, or related field

Tools

Docker

Kubernetes

Jobbeschreibung

Accenture is seeking a software engineer who helps design, build, and run production systems with AI at the core. You will own features end-to-end, collaborate across frontend, backend, and data, and ship reliable software in a client-facing environment.

You will apply cloud-native practices using Docker and Kubernetes, contribute to CI/CD pipelines, and integrate AI models via APIs and tooling, while maintaining security and performance standards.