Full Stack Developer - AI Products (AI&Data)

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MidZdalnie·WarszawaFull-time

#472252·Dodano 2 dni temu·17

Źródło: Accenture

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Tech Stack / Keywords

React TypeScript Python FastAPI Node.js LLMRAGMCPLangChainWebSockets

Podsumowanie oferty

Build GenAI and agentic AI solutions for leading global enterprises, from user interfaces to APIs and AI services. The role covers full-stack product development with React, TypeScript, backend services, LLM integrations, RAG pipelines, and agents.

Wymagania

At least 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, including building REST APIs and working with SQL databases.
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 an agentic framework such as LangChain, LangGraph, LlamaIndex, or ADK, and with the Model Context Protocol (MCP).
Proficiency with AI-assisted development tools such as Cursor or Copilot; these are expected to be part of the daily workflow.
Good command of English (minimum B2+).

Nice to have:

Experience building real-time or streaming interfaces, such as Server-Sent Events or WebSocket-based interfaces.
Hands-on experience with UI component libraries and design systems such as Shadcn, Radix, or Material UI.
Cloud experience with AWS, Azure, or GCP, and familiarity with containerization and CI/CD, such as Docker or GitHub Actions.
Experience with testing across the stack, such as Playwright, React Testing Library, or pytest.
Understanding of Responsible AI principles and model evaluation techniques.
Contributions to open-source projects, hackathon experience, or a public GitHub portfolio.

Obowiązki

Build responsive React and TypeScript frontends for GenAI products, including conversational interfaces, agent dashboards, and data exploration tools.
Develop backend services and APIs using Python/FastAPI or Node.js, connecting interfaces to LLM APIs (OpenAI, Anthropic, Google), agents, and enterprise data sources.
Implement AI-specific patterns, including streaming LLM responses, real-time agent status, citation rendering, and handling AI uncertainty.
Contribute to RAG pipelines and agentic workflows by integrating vector databases, tools, and MCP servers into product features.
Deploy and run solutions in AWS, Azure, or GCP environments, and evaluate AI outputs for hallucinations, edge cases, and failure modes.
Collaborate with GenAI engineers, designers, architects, and consultants on cross-functional client teams.

Benefity

Permanent employment contract.
Individual support from a People Lead and a defined professional development path, including the possibility of a session with a Coach.
Comprehensive training package covering soft skills, technical and language training, e-learning platforms, Gallup test, and GenAI training; co-financing may be available for courses and certifications.
Employee Assistance Program with 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 a Multisport card.

Dofinansowanie szkoleń

Kursy językowe

Udziały pracownicze

Opieka zdrowotna

Ubezpieczenie

Karta sportowa

Inne informacje

The technical interview includes solving and debugging a real problem together, using your preferred development setup, including any AI-assisted tools you use day to day.

Accenture

230 aktywnych ofert

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