Junior GenAI Engineer (AI&Data)

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   real life   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   AI driven   solutions, from Vibe Coding sessions through RAG pipelines to conversational interfaces over enterprise data.   Continuous learning in a   fast growing   domain:  Build   a strong foundation   in modern tooling such as vector databases, embeddings,   Text to SQL   and MCP, supported by experienced   Data&AI   practitioners.   HERE’S WHAT YOU’LL NEED   Bachelor's or  Maste r'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   e learning   platforms,  Gallup  test,  GenAI training , and the possibility of co financing 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 Not