9 days ago
Warsaw, PolandMid Level

Responsibilities

  • Design and implement AI-powered applications using LLMs and Generative AI technologies.
  • Build and optimize RAG, document-processing, enterprise knowledge-retrieval, vector database, and hybrid-search solutions.
  • Develop AI agents that interact with business systems, APIs, and knowledge repositories.
  • Integrate AI solutions with client systems and enterprise platforms.
  • Implement agent memory, context management, and orchestration mechanisms.
  • Evaluate and improve the quality, reliability, and performance of AI solutions.
  • Support deployment and productionization in collaboration with Systems Engineers.
  • Contribute to proof-of-concept initiatives and rapid prototyping.
  • Collaborate with the multidisciplinary team, share knowledge, and stay current with AI frameworks and development practices.

Requirements

  • Very good written and verbal English communication skills.
  • Strong problem-solving and analytical thinking skills.
  • Experience developing software solutions in Python.
  • Understanding of Generative AI, LLMs, RAG concepts, and AI agent architectures.
  • Hands-on experience building applications with modern AI frameworks.
  • Understanding of tool integration patterns and interoperability standards such as MCP.
  • Experience integrating applications with REST APIs and external services.
  • Knowledge of software engineering best practices, testing, and version control.
  • Experience with Docker and cloud environments.
  • Ability to work effectively in multidisciplinary teams.
  • Preferred qualifications include experience with LangGraph, OpenAI Agents SDK, PydanticAI, LlamaIndex, CrewAI, Google ADK, or Microsoft Agent Framework.
  • Preferred qualifications include knowledge of Azure AI Foundry, Azure OpenAI Service, and Azure AI Search.
  • Preferred qualifications include experience with AI application evaluation frameworks, agent memory, context engineering, long-context strategies, multi-agent systems, regulated industries, and open-source AI projects.
  • Interest in Agent-to-Agent, reasoning models, and AI safety topics.

Benefits

  • Projects with major market players and industry leaders.
  • Access to AI tools for everyday work and opportunities to learn through varied projects.
  • Professional and financial support for recognized qualifications and certificates.
  • EY Badges certification opportunities and the opportunity to earn an MBA title from Hult International School of Business.
  • One-to-one career guidance from a Career Counselor.
  • Free psycho-educational consultations and personal-development activities.
  • Benefits including private healthcare with preventive examinations, life insurance, tickets, team sports, language learning, sports cards, and other online and offline offerings.

Tech Stack

Categories

Ernst and Young

About Ernst and Young

10,000+ employees

Ernst & Young (EY) provides audit/assurance, tax, consulting, strategy and transactions services to enterprises, financial institutions, and public‑sector clients. Structured as a global network of partner‑owned member firms, it sells professional services on a fee basis, including a dedicated Financial Services Organization for banking, insurance, and capital markets. Headquartered in London, EY was formed in 1989 from the merger of Ernst & Whinney and Arthur Young, and operates in 150+ countries.

Contact me