Jobbörse

(Junior) AI Native Software Engineer (all genders)

Veröffentlicht am 26. Sept. 2026

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Accenture Dienstleistungen GmbH

Berlin

EnglischJuniorFließend Deutsch (C1+)

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Gehalt (Schätzung)

Grobe Schätzung: etwa 50.000 €/Jahr

Über diese Stelle

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 ship 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.

We offer what no single product company can: breadth across every industry, every enterprise technology stack, and every level of organizational complexity — combined with vendor fellowship access inside Anthropic, OpenAI, Microsoft, and Google engineering teams, structured AI certification pathways, and a clear development track toward agentic and forward-deployed engineering.

Key Responsibilities

Use AI coding assistants daily as a standard part of delivery, actively, frequently, and with demonstrable impact on productivity and output quality

Integrate LLM APIs into applications in production: calling AI provider APIs in live code, managing token limits and latency, and building initial abstraction layers

Apply AI across the full software delivery lifecycle: AI-generated tests, AI-assisted debugging, AI-accelerated code review, and prompt engineering for development tasks

Own the quality of AI-generated outputs in your delivery scope, exercise engineering judgment about reliability, limitations, and failure modes; know when AI output is production-ready and when it is not

Define and track KPIs to evaluate the effectiveness and ROI of AI-assisted workflows; present AI productivity and quality metrics to project stakeholders

Own delivery end-to-end — from design through to production support — in Agile sprint cycles alongside client engineering teams

Contribute to shared knowledge bases, reusable components, and internal AI tooling standards that benefit the wider team

Build and integrate the application layers, APIs, and interfaces that connect full-stack systems to agentic backends — understanding data flows, context handoffs, and integration points between your code and AI pipelines

Basic Qualifications

Bachelor's degree in Computer Science, Computer Engineering, Software Engineering, or a related field
Software engineering experience in production environments (or equivalent demonstrated through academic projects, internships, or shipped personal projects)
Proficiency in at least one primary backend language: Python, Java, or TypeScript
Demonstrated hands-on experience using AI tools actively in day-to-day engineering work — with practical examples of how AI was used to solve real problems, iterate on outputs, and improve delivery; including direct experience calling LLM APIs in production code with an understanding of token management, latency, and cost tradeoffs
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
Experience with databases — SQL or NoSQL
Ability to validate, evaluate, and improve AI-generated outputs; understanding of AI limitations and responsible use
Familiarity with agentic system concepts — awareness of orchestration frameworks (LangChain, LangGraph, or equivalent), RAG pipelines, and how full-stack applications connect to agent-based architecture; production experience preferred, conceptual understanding required
Very good German and English skills

Statement zur Chancengleichheit

Wir suchen Menschen mit eigenem Lebensentwurf und ungewöhnlichem Lebenslauf. Individuell statt uniform. Vielfalt statt Norm. Diversität ist unsere Stärke und eine wesentliche Komponente der Unternehmenskultur von Accenture. Wir fördern ein integratives und offenes Arbeitsumfeld, in dem sich jeder so zeigen kann, wie er ist. Bei Accenture sind alle Bewerber:innen willkommen: unabhängig von Herkunft, Nationalität, Glaube, Behinderung, Alter, Familienstand, Partnerschaftsstatus, sexueller Orientierung, Geschlecht und anderen gesetzlich geschützten Gründen.

We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other.

We believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment. We actively foster a workplace free from bias, where everyone feels a sense of belonging and is respected and empowered to do their best work.

At Accenture, we see well-being holistically, supporting our people’s physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We’re proud to be consistently recognized as one of the World’s Best Workplaces™.

Join Accenture to work at the heart of change. Visit us at www.accenture.com.

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Eckdaten der Stelle

Arbeitgeber: Accenture Dienstleistungen GmbH
Position: (Junior) AI Native Software Engineer (all genders)
Stadt: Berlin
Arbeitsmodell: nicht angegeben
Sprache: Englisch
Erfahrungsstufe: Junior
Veröffentlicht: 26. Sept. 2026
Quelle: XING

(Junior) AI Native Software Engineer (all genders)

Job Fit

Über diese Stelle

Eckdaten der Stelle

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