25 days ago
Kronberg, GermanyEntry Level
Responsibilities
- Use AI coding assistants daily to improve delivery productivity and output quality.
- Integrate production LLM APIs while managing token limits, latency, cost, and abstraction layers.
- Apply AI-assisted testing, debugging, code review, and prompt engineering throughout the software lifecycle.
- Evaluate AI-generated outputs for reliability, limitations, failure modes, and production readiness.
- Define and track KPIs for AI-assisted workflow effectiveness, productivity, and quality.
- Own software delivery end to end from design through production support in Agile sprint cycles with client engineering teams.
- Build full-stack application layers, APIs, and interfaces connecting applications to agentic backends and AI pipelines.
- Contribute to shared knowledge bases, reusable components, and internal AI tooling standards.
Requirements
- Bachelor's degree in Computer Science, Computer Engineering, Software Engineering, or a related field.
- Exposure to commercial production software engineering or equivalent experience demonstrated through academic projects, internships, or shipped personal projects.
- Proficiency in at least one backend language: Python, Java, or TypeScript.
- Hands-on experience using AI tools in daily engineering work and calling LLM APIs in production code, including understanding of token management, latency, and cost tradeoffs.
- Basic understanding of JavaScript, HTML, and CSS.
- Familiarity with AWS, Azure, or GCP; Docker; CI/CD pipelines; and SQL or NoSQL databases.
- Understanding of Agile delivery fundamentals and responsible evaluation of AI-generated outputs.
- Familiarity with agentic system concepts, LangChain or LangGraph, RAG pipelines, and application integration with agent-based architectures.
- Very good German and English language skills and willingness to travel occasionally for business.
- Production experience with agentic systems is preferred.
Benefits
- Access to structured AI certifications, continuous learning, and more than 30,000 training resources.
- Exposure to Anthropic, OpenAI, Microsoft, and Google ecosystems and leading AI technologies.
- Flexible working models, including hybrid work options.
- Mentoring, coaching, and career pathways toward advanced AI and Forward Deployed Engineering roles.
- Projects across industries, technologies, and enterprise environments.
- Occasional business travel is required.
Tech Stack
Categories
About Accenture
Accenture is a global professional services firm providing management consulting, systems integration and technology, cybersecurity, and business process outsourcing for enterprises and governments. It operates a services-driven model delivering projects and managed services, often with major cloud and software partners, across industries worldwide. Headquartered in Dublin and publicly traded on the NYSE (ACN), it originated as Andersen Consulting and adopted the Accenture name in 2001.