ai engineer

EPAM Systems is a global provider of digital platform engineering and software development services. The company focuses on delivering innovative solutions and digital transformation for clients across various industries through a collaborative and inclusive professional environment.

• Design, implement, and maintain end-to-end AI applications, including chatbots, Q&A platforms, and agent workflows;
• Collaborate directly with clients to understand their needs, identify opportunities, and recommend LLM-driven solutions;
• Develop and manage robust data pipelines, prompt strategies, and datasets;
• Evaluate and refine AI system performance to ensure accuracy, security, scalability, and compliance;
• Conduct research and rapid prototyping to validate technical feasibility and demonstrate business value;
• Stay current with evolving LLM technologies, frameworks, and methodologies.

• Strong proficiency in Python and web frameworks like FastAPI;
• Understanding of the AI application development lifecycle;
• Experience with rapid UI prototyping using Streamlit, Gradio, or similar;
• Familiarity with major LLM platforms and APIs (OpenAI, Anthropic, Amazon Bedrock, Gemini) and frameworks (LangGraph, LlamaIndex, Strands Agents);
• Knowledge of advanced AI integration patterns such as RAG and Agents;
• Experience deploying AI solutions at scale with focus on performance, cost-efficiency, and maintainability;
• Proven ability to evaluate generative AI quality using metrics and LLM-based methods;
• Proven experience in AI engineering and delivering ML-based solutions;
• Strong problem-solving skills and attention to detail;
• Excellent communication, collaboration, and interpersonal skills;
• Nice to have: Experience designing experiments, conducting A/B tests, and iterating on models based on user feedback, understanding of retrieval systems and ranking algorithms, familiarity with emerging protocols (MCP, A2A, ACP), experience deploying to cloud AI platforms or on-premise solutions, experience with enterprise AI platforms, experience with observability and monitoring tools.

• Stable income via Employment Contract or B2B;
• Participation in the Employee Stock Purchase Plan;
• Benefits package including health insurance, multisport, and shopping vouchers;
• Flexible schedule and remote work options within Poland;
• Opportunity to work abroad for up to 60 days annually;
• Business-driven relocation opportunities;
• Access to career roadmap, leadership development, and soft skills programs;
• Certification support (GCP, Azure, AWS);
• Access to learning platforms (LinkedIn Learning, Get Abstract, Cloud Guru);
• English classes;
• Referral bonuses;
• Corporate, social, and well-being events;
• Strategically located offices with entertainment zones and snacks.