Описание:
Accenture is a global professional services company that helps businesses, governments, and other organizations build their digital core, optimize operations, accelerate revenue growth, and enhance citizen services. It combines technology expertise in cloud, data, and AI with industry experience and global delivery capabilities.
Задачи:
- Use AI coding assistants daily to improve productivity and output quality
- Integrate LLM APIs into production applications, managing token limits and latency and building initial abstraction layers
- Apply AI across the software delivery lifecycle, including test generation, debugging, code review, and prompt engineering
- Own the quality of AI-generated outputs and assess their reliability, limitations, and failure modes
- Define and track KPIs for AI-assisted workflows and present productivity and quality metrics to project stakeholders
- Own end-to-end delivery, from design through production support, in Agile sprint cycles with client engineering teams
- Contribute to shared knowledge bases, reusable components, and internal AI tooling standards
- Build and integrate application layers, APIs, and interfaces connecting full-stack systems to agentic backends
Требования:
- Bachelor's degree in Computer Science, Computer Engineering, Software Engineering, or a related field
- Production software engineering experience, or equivalent demonstrated through academic projects, internships, or shipped personal projects
- Proficiency in at least one primary backend language: Python, Java, or TypeScript
- Hands-on experience actively using AI tools in day-to-day engineering, with practical examples of solving problems, iterating on outputs, and improving delivery
- Direct experience calling LLM APIs in production code and understanding token management, latency, and cost tradeoffs
- Basic understanding of JavaScript, HTML, and CSS
- Familiarity with cloud fundamentals (AWS, Azure, or GCP), Docker, and CI/CD pipelines
- Understanding of Agile delivery fundamentals
- Experience with SQL or NoSQL databases
- Ability to validate, evaluate, and improve AI-generated outputs; understanding of AI limitations and responsible use
- Familiarity with agentic system concepts, orchestration frameworks such as LangChain or LangGraph, RAG pipelines, and how full-stack applications connect to agent-based architecture; conceptual understanding required
- Very good German and English skills
- Будет плюсом: production experience with agentic systems
Условия:
Employment type: OTHER