About the role
Accenture is a leading global professional services company that helps the world's leading businesses, governments, and other organizations build their digital core, optimize their operations, accelerate revenue growth, and enhance citizen services. As a Full Stack Developer - AI Products, you will build GenAI and agentic AI solutions for leading global enterprises end-to-end - from the React interface users interact with, through the APIs that power it, to the LLM services, RAG pipelines, and agents behind them.
Responsibilities
•Build modern, responsive frontends for GenAI products using React and TypeScript - conversational interfaces, agent dashboards, and data exploration tools
•Develop backend services and APIs (Python/FastAPI or Node.js) that connect user interfaces to LLM APIs (OpenAI, Anthropic, Google), agents, and enterprise data sources
•Implement AI-specific patterns across the stack: streaming LLM responses, real-time agent status, citation rendering, and graceful handling of AI uncertainty
•Contribute to RAG pipelines and agentic workflows - integrating vector databases, tools, and MCP servers into working product features
•Deploy and run solutions in cloud environments (AWS, Azure, or GCP), and evaluate AI outputs to catch hallucinations, edge cases, and failure modes before they reach production
•Collaborate with GenAI engineers, designers, architects, and consultants on cross-functional client teams
Requirements
•Min. 2 years of commercial experience in full stack or web development
•Experience building RAG pipelines, agentic workflows, or multi-agent systems in personal, academic, or professional projects
•Good proficiency in React and TypeScript
•Backend development experience in Python (preferred) or Node.js - building REST APIs and working with databases (SQL)
•Experience integrating frontends with backend APIs, WebSockets, or streaming endpoints
•Hands-on experience with LLM APIs and a working understanding of embeddings, vector search, and RAG
•Experience with any agentic framework (e.g., LangChain, LangGraph, LlamaIndex, ADK) and with the Model Context Protocol (MCP)
•Proficiency with AI-assisted development tools (e.g., Cursor, Copilot, or similar) — we expect these to be a core part of your daily workflow, not an occasional add-on
•Good command of English (min. B2+)
Nice to have
•Experience building real-time or streaming UIs (e.g., Server-Sent Events, WebSocket-based interfaces)
•Hands-on experience with UI component libraries and design systems (e.g., Shadcn, Radix, Material UI)
•Cloud experience (AWS, Azure, or GCP) and familiarity with containerization and CI/CD (Docker, GitHub Actions, or similar)
•Experience with testing across the stack (e.g., Playwright, React Testing Library, pytest)
•Understanding of Responsible AI principles and model evaluation techniques
•Contributions to open-source projects, hackathon experience, or a public GitHub portfolio
Conditions
The work location for this role may include a mix of working remotely (most of the time), onsite at a client or in an Accenture office - depending on specific project circumstances. With all our roles, there is some in-person time for collaboration, learning and building relationships with clients, peers, leaders, and communities. As an employer, we will be as flexible as possible to support your specific work/life needs.
•Own AI features end-to-end: take features from UI to model integration to deployment for Fortune 500-type organizations - the part that makes the difference between a demo and a product
•Grow at the intersection of product engineering and GenAI: build hands-on expertise in RAG, agents, MCP, and AI-native UX alongside experienced AI & Data practitioners
•A flexible path forward: deepen your skills toward a GenAI Engineer, AI-focused frontend, or technical lead role - depending on where you want to take your career
•A permanent employment contract
•Individual support of a People Lead and a clearly defined path of professional development, including the possibility of a session with a Coach
•A comprehensive training package, including: soft skills, technical and language training, access to e-learning platforms, Gallup test, GenAI training, possibility of co-financing courses and certifications
•Employee Assistance Program offering legal, financial and psychological consultations
•Employee Share Purchase Plan — employees who own company shares are automatically eligible for quarterly dividends
•Paid employee referral program
•Private medical care and life insurance
•Access to the Worksmile benefits platform (including the Multisport card)
