About the role
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 250 Poland-based specialists. Our expertise spans data architecture and sectoral specialization. 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.
As a GenAI Engineer, you will independently design, build, and deliver production-ready GenAI and agentic AI solutions for leading global enterprises. We’re looking for engineers who combine solid software development fundamentals with real, hands-on experience in the GenAI space – people who can take a problem, pick the right approach, and ship it to production.
What you'll own
Design and build GenAI applications and multi-agent systems for enterprise clients – using Python, LLM APIs (OpenAI, Anthropic, Google), and open-source models
Develop RAG pipelines, agentic workflows, and integrations that connect AI agents to corporate databases, APIs, and enterprise systems
Take ownership of features end-to-end: from prototyping and evaluation through deployment to cloud environments (AWS, Azure, or GCP) with production-grade reliability
Evaluate and optimize AI outputs – improving accuracy, reducing hallucinations, and tuning performance for real-world use cases
Collaborate with senior engineers, architects, and consultants on high-impact client projects, contributing to design decisions and technical direction
What we'd love to see
Min. 3 years of commercial experience in Software Engineering or Data Engineering, including at least 1 year working hands-on with LLMs and Generative AI
Strong Python skills and solid understanding of SQL
Practical experience building RAG pipelines, agentic workflows, or working with vector databases
Hands-on knowledge of agentic frameworks (e.g., LangChain, LangGraph, LlamaIndex, ADK) and an understanding of agentic architecture patterns
Experience deploying AI solutions to cloud environments (AWS, Azure, or GCP)
Understanding 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+)
Benefits & perks
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)