Junior GenAI Engineer (AI&Data)
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Junior GenAI Engineer (AI&Data)
Location
Warsaw, Sienna 39 • Krakow
Experience
Entry
Posted
Jul 7, 2026
Apply by
August 6, 2026
Applicants
0
Early applicantFull-timeHybrid
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. We offer solutions and assets across Strategy & Consulting, Technology, Operations, Industry X, and Accenture Song.
At the **AI&Data**, we work locally and globally with over 250 Poland‑based specialists. Our expertise spans data architecture and sectoral specializations. We collaborate with tech partners like **Microsoft, AWS, Google, Oracle, 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.
For more information about **Accenture Technology Poland** please visit our website: https://www.accenture.com/pl-en
**THE WORK**As a Junior GenAI Engineer, you’ll join a team that **creates innovative GenAI and agentic AI tools** for major companies.
We're looking for people who are genuinely curious about Generative AI and proactively follow what's happening in the space - new models, tools, and techniques. If you're excited about applying AI to solve real business problems at scale, you'll fit right in.
You will:
- **Build next-generation GenAI applications and autonomous multi-agent systems** for top-tier enterprise clients - using Python, LLM APIs (OpenAI, Anthropic, Google), and open-source models
- **Design enterprise-grade RAG solutions and agentic workflows** that reason, act, and make decisions at scale
- **Evaluate and stress-test AI outputs** - hunting down hallucinations, edge cases, and failure modes before they reach production
- **Deploy solutions to cloud environments** (AWS, Azure, or GCP) with real-world performance and security requirements
- Collaborate with senior engineers and consultants who are shaping how leading enterprises adopt AI
**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?**
- **Projects with global impact:** Participate in reallife implementations of GenAI and conversational analytics for **Fortune 500**type organizations, seeing how your solutions perform in demanding production environments.
- **Hands on GenAI engineering:** Learn how to **design, prototype and debug** AIdriven solutions, from Vibe Coding sessions through RAG pipelines to conversational interfaces over enterprise data.
- **Continuous learning in a fastgrowing domain:** Build a strong foundation in modern tooling such as vector databases, embeddings, TexttoSQL and MCP, supported by experienced Data&AI practitioners.
**HERE’S WHAT YOU’LL NEED**
- Bachelor's or Master's degree in Computer Science, Data Science, Mathematics, or a related technical field (or equivalent practical experience)
- Solid proficiency in Python and basic SQL knowledge
- **Basic backend experience** - understanding of REST APIs, HTTP methods, and how client-server communication works
- **Hands-on experience with foundation models (LLMs**) and an understanding of how embeddings and vector search work
- **Familiarity with agentic frameworks** (e.g., LangChain, LangGraph, LlamaIndex, ADK) and an understanding of agentic architecture concepts (agents with memory, tools, and autonomous decision-making)
- **Awareness of the Model Context Protocol (MCP)** and how it connects AI agents to external systems
- **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 RAG pipelines**, agentic workflows, or working with vector databases
- **Hands-on experience with multi-agent systems or autonomous AI workflows** in personal, academic, or professional projects
- **Familiarity with LLMOps practices** and CI/CD for AI applications
- Contributions to open-source projects, hackathon experience, or a public GitHub portfolio
- **Basic cloud experience** (AWS, Azure, or GCP) and familiarity with containerization and API tooling (Docker, FastAPI, Flask)
- Understanding of **Responsible AI** principles and model evaluation techniques
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 clear path of professional development, as well as the possibility of a session with a **Coach**.
- A wide training package: soft, technical and language trainings, access to elearning platforms, **Gallup** test, **GenAI training**, and the possibility of cofinancing courses and certifications.
- **Employee Assistance Program** – legal, financial and psychological consultations.
- Participation in the **Employee share purchase plan** with eligibility for quarterly dividends (for employees who own company shares).
- Paid **employee referral** program.
- Private **medical care** and **life insurance**.
- Access to a benefits platform (e.g. Worksmile) with a wide range of products and services, including a sports 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.
When applying please enclose the below statement:
*“I hereby consent to the processing of my personal data by Accenture sp. z o.o. with its registered seat in Warsaw (00-121), at ul. Sienna 39, NIP 526-00-15-900 (Data Controller), in accordance with the Act of May 10, 2018, on the Protection of Personal Data (Journal of Laws of 2018, item 1000) and the Regulation on the protection of natural persons with regard to the processing of personal data and on the free movement of such data, and repealing Directive 95/46/EC (Data Protection Directive), necessary to carry out the recruitment process by Accenture. At the same time, I declare that I provide my personal data completely voluntarily. I also declare that I have been informed about my right to withdraw my consent or object to processing of data, request access to them, rectification, deletion, limitation of processing and their transfer, at any time and the right to lodge a complaint to the data protection supervisory authority.”*
**About Accenture**
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—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.
Visit us at [www.accenture.com](http://www.accenture.com/)
**Equal Employment Opportunity Statement**
We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, sexual orientation, gender identity or expression, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.
Key Responsibilities
- Build next-generation GenAI applications and autonomous multi-agent systems for enterprise clients
- Design enterprise-grade RAG solutions and agentic workflows
- Evaluate and stress-test AI outputs to identify hallucinations and failure modes
- Deploy solutions to cloud environments with real-world performance and security requirements
- Collaborate with senior engineers and consultants on AI adoption strategies
Requirements
- Bachelor's or Master's degree in Computer Science
- Data Science
- Mathematics
- or a related technical field
Skills Required
PythonSQLREST APIsHTTP methodsLLMsEmbeddingsVector searchLangChainLangGraphLlamaIndexADKModel Context Protocol (MCP)CursorCopilotCuriosityProactive learningCollaborationRAG pipelinesVector databasesMulti-agent systemsLLMOpsCI/CD for AIAWSAzureGCPDockerFastAPIFlaskResponsible AI principlesModel evaluation techniques
Benefits
- Permanent employment contract
- Professional development support
- Coach sessions
- Training package (soft, technical, language)
- Access to elearning platforms
- Gallup test
- GenAI training
- Cofinancing courses and certifications
- Employee Assistance Program
- Employee share purchase plan
- Paid employee referral program
- Private medical care
- Life insurance
- Benefits platform access
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