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Listed on Accenture’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
This junior-level role is for a software engineer who uses AI coding assistants as a core part of daily work, building full-stack applications that integrate with LLM APIs and agentic systems across client projects. It suits engineers with production experience who are comfortable with AI tools, want hands-on exposure to the latest AI technologies, and are ready for a structured pathway into advanced AI engineering roles.
Our summary, not Accenture’s wording. The full posting is on their site.
Skills this role names
- Agile
- Amazon Web Services (AWS)
- CI/CD
- CSS
- Docker
- HTML
- Java
- JavaScript
- LangChain
- LangGraph
- Microsoft Azure
- NoSQL
- Python
- Retrieval-Augmented Generation (RAG)
- SQL
- TypeScript
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What they ask for
Required
- Bachelor's degree in Computer Science, Computer Engineering, Software Engineering, or related field
- Production software engineering experience (commercial, academic projects, internships, or shipped personal projects)
- Proficiency in Python, Java, or TypeScript
- Hands-on experience using AI tools in engineering work with real examples of solving problems
- Direct experience calling LLM APIs in production code with understanding of token management and latency
- Basic understanding of web technologies (JavaScript, HTML, CSS)
- Familiarity with cloud platforms (AWS, Azure, GCP)
- Experience with containers (Docker) and CI/CD pipelines
- Understanding of Agile delivery fundamentals
- Experience with databases (SQL or NoSQL)
- Ability to validate and improve AI-generated outputs
- Understanding of agentic system concepts including orchestration frameworks and RAG pipelines
Nice to have
- Production experience with agentic systems and frameworks