We are seeking a talented and motivated Senior Python Engineer to join our dynamic team, bringing hands-on experience in Python development and familiarity with the Azure environment and related technologies, along with a solid understanding of event-based design patterns and RAG architecture.ResponsibilitiesDevelop and maintain Python applications that meet business requirements and technical specificationsCollaborate with cross-functional teams to design, develop, and implement software solutionsUtilize Azure services and technologies to build scalable and efficient applicationsImplement event-based design patterns to enhance application functionality and performanceApply knowledge of RAG architecture to relevant projectsTroubleshoot, debug, and optimize code to ensure high performance and reliabilityStay updated with the latest industry trends, technologies, and best practices in Python development and cloud computingEvaluate trade-offs and select appropriate tools, frameworks, and architectural patterns for a given problemDevelop PoCs and iterate quickly based on resultsRequirementsAt least 5+ years of practical experience in Python development and delivering production systemsProficiency in advanced Python, especially in scalable, clean code architecture and microservices (e.g., FastAPI, asyncio)Understanding of API integration patterns and inter-service communication (e.g., REST, Kafka)Track record of at least two backend/data-intensive solutions successfully delivered to production, ideally involving high-throughput APIs, data pipelines, or search/retrieval systemsPractical knowledge and hands-on experience with relational and NoSQL databases (e.g., PostgreSQL, MongoDB), caching layers (e.g., Redis), and message queuesExperience with containerization (Docker, Kubernetes)Strong grasp of software engineering fundamentals: data structures, algorithms, and concurrencySkills in asynchronous programming and API design (REST/gRPC)Understanding of testing practices: unit, integration, and end-to-end testing (e.g., pytest), plus CI/CD pipelinesFamiliarity with cloud platforms (e.g., Azure, AWS, GCP) and infrastructure-as-codeStrong debugging, profiling, and optimization skills for high-performance Python applicationsEnglish proficiency at B2 level or higherNice to haveFamiliarity with agentic frameworks such as LangChain/LangGraph, LlamaIndex, or similarPractical experience integrating LLMs (e.g., OpenAI, Anthropic) into production applications, including prompt engineering and tool/function callingKnowledge of RAG architectures, embeddings (e.g., OpenAI), and vector databases (e.g., FAISS, Azure AI Search)Understanding of LLM evaluation, guardrails, and cost/latency trade-offs when designing AI-powered servicesWe 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.