Junior Applied AI Engineer (all genders)
Remote • Kronberg
Posted 2d ago
Job Location
Kronberg
Tech Stack
Remote Work Policy
Fully remote
Categories
AI Engineer
About the job
Start your career where software development and AI meet. Develop modern applications and learn to make AI an integral part of your engineering everyday life. As an AI Software Engineer, you will start with a clear hire-to-train approach and develop into a customer-oriented full-stack engineer with AI-native skills. You will work directly in delivery teams on applications, platforms, and APIs, learning to use cloud, DevOps, and AI technologies throughout the entire software development lifecycle. At Accenture, you will shape the environment in which you thrive – with working methods that suit you. You remain flexible and become part of a team of unique individuals who move things forward together.
Responsibilities
- Conceive, develop, test, and implement applications, platforms, and API-based services using Python, Java, or TypeScript.
- Utilize AI coding assistants for tasks like testing, debugging, code reviews, and prompt engineering, critically evaluating AI-generated results for errors and hallucinations.
- Deepen understanding of AI agent orchestration, LLM interaction, and the integration of classical software with AI pipelines.
- Participate in agile delivery models (Scrum, Lean, XP) within sprint cycles, documenting technical solutions and collaborating on proofs of concept.
- Translate business requirements into scalable, production-ready technical solutions and communicate technical concepts to non-technical stakeholders.
Requirements
- Completed Bachelor's degree in Computer Science, Computer Engineering, Software Engineering, or a comparable field.
- Foundational programming skills in Python, Java, TypeScript, or Node.js, with knowledge of JavaScript, HTML, and CSS.
- Developed functional software through university, internship, or personal projects, with practical experience in agile methodologies.
- Actively use AI tools for learning or development, providing examples of how they aid problem-solving and software development, while critically validating AI outputs.
- Proactively explore Agentic AI through personal projects, courses, or experiments with technologies like LangChain, LangGraph, or AutoGen.
Benefits
- Access to over 30,000 training courses, extensive learning opportunities, and certifications.
- Access to learning opportunities and technology partnerships, including AWS and Google.
- Mentoring and coaching programs for professional and personal development.
- New Hire Orientation Week for a structured onboarding.
- Flexible work models, including home office options.