We are looking for a Senior AI-Native Engineer to join our team at EPAM Systems in Poland.We're looking for someone who doesn't just use AI — but thinks in AI. This role is built for engineers who approach every problem with an AI-first mindset, design systems where intelligent agents are core building blocks, and naturally embed AI into every stage of the software development process. If you're driven by the challenge of building truly autonomous, reasoning systems and want to define what AI-native engineering looks like at enterprise scale — we'd love to talk.This position offers a hybrid work model — combining remote work with 3 days per week from one of our EPAM offices located in Kraków, Wrocław, or Gdańsk. This setup allows you to enjoy flexibility while staying connected with your team and benefiting from in-person collaboration.ResponsibilitiesArchitect and develop AI-native applications where intelligent agents and LLM-powered components serve as foundational building blocksDesign and implement multi-agent systems capable of autonomous reasoning, planning, tool selection, and execution of complex workflowsIntegrate Large Language Models into production environments, ensuring reliability, observability, and graceful degradationEmbed AI throughout the software development lifecycle — from AI-assisted design and code generation to intelligent testing, review, and deployment automationDevelop orchestration layers that manage agent communication, shared memory, context windows, and task delegationCraft and iterate on prompt engineering strategies to drive consistent, high-quality model outputs across diverse use casesEvaluate and benchmark emerging AI models, frameworks, and agent platforms to inform technology decisionsDesign feedback loops, guardrails, and evaluation mechanisms to ensure AI system safety, accuracy, and alignmentCollaborate with cross-functional teams — including product managers, data engineers, and platform architects — to deliver AI-driven solutions at scaleContribute to the creation of internal standards, reference architectures, and reusable patterns for AI-native developmentMentor engineers across teams on agentic design patterns, LLM integration best practices, and AI-first thinkingContinuously monitor the evolving AI landscape and translate emerging research into practical engineering approachesRequirementsMinimum of 5 years of professional software engineering experience with a demonstrated focus on AI-powered systemsProven, hands-on experience in AI Agents development or LLM integration — building and shipping applications where large language models drive autonomous reasoning, content generation, or complex decision-makingExperience with AI orchestration frameworks such as Spring AI or LangChain4J for structured development of agent-based applicationsStrong Prompt Engineering skills — including designing prompt templates, chains, and system instructions that produce reliable, context-aware model behavior in production settingsProficiency in Python for AI/ML prototyping, model interaction, scripting, and working within the broader AI development ecosystemHands-on experience with AWS or GCP cloud platforms, particularly services supporting AI/ML workloads (e.g., Bedrock, SageMaker, Vertex AI, Lambda, Cloud Functions)Demonstrated practice of embedding AI into the SDLC — actively using AI-powered assistants, agents, or copilots to accelerate and enhance software development workflowsStrong system design skills with the ability to architect solutions that combine traditional services with autonomous AI componentsCritical thinking and ability to assess model limitations, hallucination risks, and appropriate use cases for AI automationExcellent communication skills and ability to work effectively in international, cross-functional Agile teamsProficiency in English (B2+), both written and spokenNice to haveExperience designing and implementing Retrieval-Augmented Generation (RAG) pipelines to ground model responses in verified, domain-specific knowledgeFamiliarity with Vector Databases (e.g., Pinecone, Weaviate, pgvector, Chroma, Milvus) for semantic search, similarity matching, and embedding managementUnderstanding of Model Context Protocol (MCP) for enabling standardized interaction between AI agents and external tools, APIs, or data sourcesHands-on experience with Anthropic Claude Code or similar agentic developer tools for AI-native software engineering workflowsFamiliarity with Google Agent Development Kit (ADK) for building, testing, and deploying multi-agent systems with structured orchestrationWe offerWe gather like-minded people:Top tech minds driving innovation in AI, cloud and digital platform modernizationSupportive team and agile, startup-like cultureHybrid by design mode and opportunity to work remotely within PolandChance to work abroad for up to 60 days annuallyBusiness-driven relocation opportunitiesWe provide growth opportunities:Career development programsThought leadership, mentoring, soft skills and well-being programsCertification (Anthropic, Gemini, GCP, Azure, AWS)English classesWe cover it all:Stable payParticipation in the Employee Stock Purchase Plan with a 15% discountBenefits package (health insurance, multisport, shopping vouchers)Referral bonuses up to $2,000Offices featuring entertainment and relaxation zones, table tennis and football, free snacks, coffee and moreCorporate, social and well-being eventsPlease, note:Benefits listed above are available to employees onlyWe are open for working with Contractors. Terms of B2B cooperation agreements are agreed individuallyWe will reach out to selected candidates exclusivelyEPAM is global leader in AI transformation engineering and integrated consulting, serving Forbes Global 2000 companies and ambitious startups. With over thirty years of expertise in custom software, product and platform engineering, we empower our clients to become AI-Native enterprises, driving measurable value from innovation and digital investments.