Full Stack Developer - AI Products (AI&Data)

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MidHybryda·WarszawaFull-time·Umowa o pracę

#473573·Dodano wczoraj·4

Źródło: justjoin.it

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Tech Stack / Keywords

React TypeScript PythonRAGNode.js REST API SQL GenAIAPICloud

Podsumowanie oferty

Build GenAI and agentic AI products for global enterprises, working end-to-end from user interfaces to APIs and AI services. Develop features using React, TypeScript, Python, and Node.js, including 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, 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 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.
Good command of English (minimum B2+).

Nice to have:

Experience building real-time or streaming user interfaces, such as those using Server-Sent Events or WebSockets.
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 modern, responsive frontends for GenAI products using React and TypeScript, including conversational interfaces, agent dashboards, and data exploration tools.
Develop backend services and APIs using Python/FastAPI or Node.js to connect user interfaces to LLM APIs, agents, and enterprise data sources.
Implement AI-specific patterns across the stack, including streaming LLM responses, real-time agent status, citation rendering, and graceful handling of 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 cloud environments (AWS, Azure, or GCP), and evaluate AI outputs to identify hallucinations, edge cases, and failure modes before production.
Collaborate with GenAI engineers, designers, architects, and consultants on cross-functional client teams.

Benefity

Individual support from a People Lead and a defined professional development path, including the possibility of a coaching session.
Training package covering soft skills, technical and language training, access to e-learning platforms, GenAI training, and the 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 eligible for quarterly dividends.
Paid employee referral program.
Private medical care and life insurance.
Access to the Worksmile benefits platform, including a Multisport card.

Szkolenia wewnętrzne

Dofinansowanie szkoleń

Kursy językowe

Udziały pracownicze

Opieka zdrowotna

Ubezpieczenie

Karta sportowa

Inne informacje

During the technical interview, candidates solve and debug a real problem using their preferred development setup, including AI-assisted tools they use day to day.

Accenture

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