An engineer who ships AI features to production. This role bridges backend systems and AI integration, building the APIs, retrieval pipelines, and agent workflows that turn language models into reliable product features. Responsibilities: Build production AI systems and integrate LLM APIs (such as OpenAI, Claude, and Gemini) into product workflows. Design and build backend APIs (REST and gRPC) and scalable microservices that serve AI features. Develop RAG pipelines using vector databases and embeddings. Implement agent-based architectures and workflow orchestration. Set up monitoring, evaluation, and optimization for AI systems running in production. Handle prompt engineering and iterate on performance based on real usage. Work closely with product and data teams to ship reliable, measurable AI features. Qualifications: Strong Python skills, used as the backbone for backend and AI integration work. A track record of shipping AI features to production, beyond model experimentation. Hands-on experience with LLM APIs, RAG pipelines, embeddings, and vector databases. Solid backend foundations: API design, microservices, and distributed systems. Experience with cloud infrastructure, with AWS preferred. Comfort with Docker. Kubernetes is a plus. Working knowledge of SQL and data handling. Familiarity with async processing and message queues (Kafka or RabbitMQ) is a plus. Exposure to orchestration frameworks such as LangChain is a plus.
Talent Pool_Applied AI Engineer_Europe in Warsaw – pracodawca: Alcor
Smartling to doskonały pracodawca, który oferuje dynamiczne środowisko pracy w obszarze technologii chmurowych. Nasza kultura opiera się na innowacyjności i współpracy, co sprzyja rozwojowi zawodowemu pracowników. Oferujemy atrakcyjne benefity oraz możliwości nauki i rozwoju, a praca w zespole zajmującym się infrastrukturą chmurową na AWS zapewnia unikalne doświadczenia w branży.
