Job
In this role, you will develop full-stack software solutions, integrate LLM APIs, utilize AI tools to enhance code quality, and lead Agile projects to drive innovative technologies across various industries.
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Job technologies
Your role in the team
- We are building the next generation of AI-native engineering talent engineers who use AI as a core part of how they work, not as an add-on.
- As an AI Engineer (Software), you will design, build, and deploy production-grade software across the full stack, using AI-assisted tooling as standard daily practice alongside your core engineering skills.
- You will work on real client programs across industries, building production-grade software that connects to and supports agentic AI systems - understanding how your full-stack work integrates with agent architecture, LLM APIs, and enterprise AI pipelines.
- This is not a stepping-stone role: it is a core engineering function in the most in-demand part of the market, with a direct pathway to the Forward Deployed Engineer program for those who develop agentic depth.
- Key responsibilities include using AI coding assistants daily as a standard part of delivery, integrating LLM APIs into applications in production, applying AI across the full software delivery lifecycle, owning the quality of AI-generated outputs, defining and tracking KPIs to evaluate the effectiveness and ROI of AI-assisted workflows, owning delivery end-to-end in Agile sprint cycles, contributing to shared knowledge bases, and building and integrating application layers, APIs, and interfaces that connect full-stack systems to agentic backends.
Our expectations of you
Education
- Bachelor's degree in Computer Science, Computer Engineering, Software Engineering, or a related field.
Qualifications
- Proficiency in at least one primary backend language: Python, Java, or TypeScript.
- Basic understanding of web technologies including JavaScript, HTML, and CSS.
- Familiarity with cloud fundamentals (AWS, Azure, or GCP), containers (Docker), and CI/CD pipelines.
- Understanding of Agile delivery fundamentals.
- Ability to validate, evaluate, and improve AI-generated outputs; understanding of AI limitations and responsible use.
- Vertrautheit mit agentischen Systemkonzepten - Bewusstsein für Orchestrierungs-Frameworks (LangChain, LangGraph oder gleichwertig), RAG-Pipelines und wie Full-Stack-Anwendungen mit agentenbasierter Architektur verbunden sind.
Experience
- 2+ years of commercial software engineering experience in production environments (or equivalent demonstrated through academic projects, internships, or shipped personal projects).
- Demonstrated hands-on experience using AI tools actively in day-to-day engineering work, including direct experience calling LLM APIs in production code.
- Experience with databases - SQL or NoSQL.
What we offer
- Neben spannenden Projekten bieten wir ein attraktives Vergütungspaket, flexible Arbeitszeiten, ein modernes Arbeitsumfeld und viele weitere Vorteile.
- You will also have the opportunity to actively increase your annual income based on your individual performance.
- The annual gross salary for this position starts at €45,000, depending on your qualifications and experience.
Benefits
Health, fitness & fun
Higher take-home pay
Work-Life-Integration
Topics you will work on
Job locations
About your employer
Wien, Linz
Accenture is one of the world's leading professional services firms, renowned for its consulting and outsourcing services with a focus on Strategy, Digital, Technology and Operations.
- 1993
- Established Company
- Onsite, Hybrid, Full Remote
- Consulting · Internet, IT, Telecommunication
Employer reviews
- Working conditions
- 4.4
- Engineering
- 3.1
- Team culture
- 3.9
- Career growth
- 3.9
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