Applied AI Engineer (all genders)

Accenture DACH; Wien; Vor Ort; EUR 41.000 - 50.000; Vollzeit

Benefits dieser Stelle

Attractive compensation package

Flexible working hours

Modern work environment

Many additional benefits

Opportunity to increase annual income

Zusammenfassung

Accenture DACH is seeking an AI Engineer (Software) to design, build, and ship production-grade software across the full stack, using AI-assisted tooling as core daily practice.

You will work on client programs across industries, integrating LLM APIs, and connecting code to agentic backends while advancing toward the Forward Deployed Engineer program.

Qualifikationen

• Bachelor's degree in CS/CE/SE or related field.
• 2+ years of commercial software engineering experience in production environments.
• Proficiency in Python, Java, or TypeScript.
• Hands-on experience using AI tools in day-to-day engineering work, including LLM APIs.
• Familiarity with web technologies (JavaScript, HTML, CSS) and cloud platforms.
• Experience with containers (Docker) and CI/CD pipelines.
• Understanding of Agile delivery fundamentals and databases (SQL/NoSQL).
• Awareness of agentic system concepts and integration with AI pipelines.

Aufgaben

• Use AI coding assistants daily as a standard part of delivery with measurable impact.
• Integrate LLM APIs into production applications and manage latency/costs.
• Apply AI across the full software delivery lifecycle including tests and debugging.
• Own quality of AI-generated outputs and assess production readiness.
• Define and track KPIs for AI-assisted workflows and report to stakeholders.
• Deliver end-to-end in Agile sprints alongside client teams.
• Contribute to reusable components and internal AI tooling standards.
• Build application layers and interfaces connecting full-stack to agent backends.

Kenntnisse

Python

Java

TypeScript

AI tools

LLM APIs

JavaScript

HTML

CSS

Cloud basics

Docker

CI/CD

Agile

SQL/NoSQL

Agentic systems

Ausbildung

Bachelor's degree in Computer Science/Computer Engineering/Software Engineering

Tools

Docker

AWS

Azure

GCP

Jobbeschreibung

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.
• Bachelor's degree in Computer Science, Computer Engineering, Software Engineering, or a related field;
• 2+ years of commercial 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.

Benefits and Compensation

Besides exciting projects, we offer an attractive compensation package, flexible working hours, a modern work environment, and many additional benefits.

• Attractive compensation package
• Flexible working hours
• Modern work environment
• Many additional benefits
• Opportunity to increase annual income based on performance
• Annual gross salary starts at €45,000, depending on your qualifications and experience.