Senior AI Engineer

We are looking for a hands-on AI Engineer to design, build, and maintain conversational AI agents in cloud environments. The role includes enabling interactions via voice, chat, email, or APIs, connecting AI to corporate systems and external models, and implementing evaluation and feedback mechanisms to ensure continuous improvement. Strong Python and Python ML skills are required, along with experience in agentic frameworks and cloud infrastructure.ResponsibilitiesDevelop and launch scalable conversational AI systems that operate across multiple channels, including chat, voice, email, and APIsArchitect microservices and asynchronous systems for AI applications, ensuring high availability and performanceUse Python to implement orchestration and decision logic — the control layer that manages tools, workflows, and system interactionsOptimize AI models through fine-tuning and LoRA integration, making data-driven decisions between different approaches (FT vs RAG)Establish prompt engineering libraries and define evaluation protocols for prompt performanceDesign monitoring and evaluation frameworks, including dashboards, metrics, and human-in-the-loop feedback loops to maintain model quality and trustWork with data specialists to design pipelines for collecting, cleaning, and structuring information for AI agentsDesign CI/CD pipelines, container standards, and cloud strategies for infrastructure migrations, cost optimization, and high availabilityRequirementsStrong background in Python, mainly for hooking up AI models, automating stuff, and handling orchestration logic1–2 years of hands-on experience with Generative AI and large language models (LLMs)Practical experience in machine learning engineering: data preparation, working with vector databases in the cloud, and training/optimizing modelsStrong backend and frontend architecture experienceDeep understanding of ML evaluation, tuning, and prompt engineeringExperience working with cloud platforms such as AWS, GCP, or Azure, including container orchestration and CI/CD pipelinesExperience with agentic frameworks (LangChain, LangGraph) and multi-agent system designComfort with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn is a plusWe offer/BenefitsWe gather like-minded people:Engineering community of industry professionalsFriendly team and enjoyable working environmentFlexible schedule and opportunity to work remotely within PolandChance to work abroad for up to 60 days annuallyBusiness-driven relocation opportunitiesWe provide growth opportunities:Outstanding career roadmapLeadership development, career advising, soft skills, and well-being programsCertification (GCP, Azure, AWS)Unlimited access to LinkedIn Learning, Get Abstract, Cloud GuruEnglish classesWe cover it all:Stable income (Employment Contract or B2B)Participation in the Employee Stock Purchase PlanBenefits package (health insurance, multisport, shopping vouchers)Strategically located offices featuring entertainment and relaxation zones, table tennis and football, free snacks, fantastic coffee, and moreReferral bonusesCorporate, social and well-being eventsPlease, note:The set of bonuses might vary based on the role you apply for – specifics will be discussed with our recruiter during the general interview.We will reach out to selected candidates exclusively.EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.