Full Stack Developer - AI Products (AI&Data)

Accenture; Warszawa; Hybrid; PLN 180,000 - 320,000; Full time

Benefits offered by this job

Permanent contract

Career development

Training package

Private medical care

Work flexibility

Job summary

Accenture is seeking a Full Stack Developer - AI Products to build GenAI solutions end-to-end, from frontend interfaces to LLM services, for Fortune 500-type organizations.

You will craft modern UIs in React/TypeScript, develop Python/Node back-ends, and collaborate across cross-functional teams to deliver reliable, scalable AI-enabled features while ensuring quality through cloud deployment and monitoring.

Qualifications

• Min. 2 years of commercial experience in full stack or web development.
• Experience building RAG pipelines, agentic workflows, or multi-agent systems.
• Strong 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 embeddings, vector search, and RAG.
• Experience with agentic frameworks (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).
• Good command of English (min. B2+).

Responsibilities

• Build modern, responsive frontends for GenAI products using React and TypeScript.
• Develop backend services and APIs (Python/FastAPI or Node.js) that connect user interfaces to LLM APIs, 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.

Skills

Full stack

React

TypeScript

Python

Node.js

REST APIs

WebSockets

LLM integration

RAG pipelines

LangChain

MCP

English (B2+)

Tools

Docker

GitHub Actions

Kubernetes

SQL

AWS

Azure

GCP

Job description

WHO WE ARE

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.

At the AI&Data, we work locally and globally with over 200 Poland-based specialists. Our expertise spans data architecture and sectoral specialization. We collaborate with tech partners like Microsoft, AWS, Google, and Snowflake to implement cutting-edge solutions. We provide comprehensive support from strategy definition to solution implementation and development, covering all aspects of Data & Analytics.

THE WORK

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.

We're looking for developers who are comfortable on both sides of the stack, curious about Generative AI, and excited to turn powerful AI capabilities into products people actually use.

You will:

• 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

Flexible:

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.

WHAT'S IN IT FOR YOU?

• 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.

HERE'S WHAT YOU'LL NEED

• 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+)

BONUS POINTS IF YOU 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

Research indicates that some candidates, especially the most diverse ones, may hesitate to apply for positions if they don't meet all requirements. If you believe you possess the necessary skills, even if not meeting every requirement, we wholeheartedly encourage you to submit your application.

WHAT WE OFFER?

• 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)

Interview Note:

We value practical skills. During the technical interview, we'll give you a real problem to solve and debug together - using your preferred development setup, including any AI-assisted tools you work with day to day.

WHAT WE BELIEVE:

Accenture does not discriminate against employment candidates based on race, religion, color, sex, age, disability, national origin, political beliefs, trade union membership, ethnicity, denomination, sexual orientation, or any other basis impermissible under Polish law. All our leaders are committed to building a better, stronger, and more durable company for future generations to create positive, long-lasting change. Inclusion and diversity are fundamental to our culture and core values. Our rich diversity makes us more innovative and creative, which helps us better serve our clients and our communities. Our position as a partner to many of the world’s leading businesses, organizations, and governments affords us both an extraordinary opportunity and a tremendous responsibility to make a difference. Sustainability is one of our greatest responsibilities, and we embed it into everything we do and for everyone we work with.

By clicking apply I hereby express my consent to process my personal data included in my job offer by Accenture Sp. z o.o. or any other entity of the Accenture group for recruitment purposes, and that it is a data controller within the meaning of GDPR. More information about Accenture (and if necessary also its representative) can be found here:
https://www.accenture.com/pl-pl/privacy-policy

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