Full stack developer for AI products

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.

• 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

• 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+)
• Будет плюсом: 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

• 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 combination very few developers have today.
• 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)