AI Platform Engineer 18054

Veritaz is a leading IT staffing solutions provider in Sweden, committed to advancing individual careers and aiding employers in ensuring the perfect talent fit. With a proven track record of successful partnerships with top companies, we have rapidly grown our presence in the USA, Europe, and Sweden as a dependable and trusted resource within the IT industry. Assignment Description We are currently looking for an experienced AI Engineer with a strong focus on Generative AI to join a cross-functional team responsible for developing, deploying, and maintaining modern AI-powered solutions for both internal users and customer-facing services.

What You Will Work On Language Models & Agentic AI Design and develop AI applications powered by Large Language Models (LLMs) Build Retrieval-Augmented Generation (RAG) solutions Develop agent-based workflows and autonomous AI capabilities Implement prompt engineering strategies and evaluation frameworks Create intelligent systems capable of information retrieval, reasoning, and decision support Improve user experiences through conversational and AI-driven interfaces Integrate AI capabilities into internal and customer-facing platforms

Data Processing & Knowledge Management Build scalable data ingestion and processing pipelines Handle file uploads, content extraction, and information enrichment Transform unstructured and semi-structured data into searchable knowledge assets Design integrations with enterprise systems and external data sources Store and manage data across object storage, vector databases, graph databases, and relational platforms Ensure data quality, accessibility, and traceability throughout the data lifecycle

Operationalization & AI Platform Engineering Deploy, monitor, and maintain AI services in production environments Ensure scalability, reliability, security, and performance of AI applications Manage AI platform lifecycle, monitoring, observability, and troubleshooting Implement access control, security controls, and governance mechanisms Optimize deployment pipelines and infrastructure automation Support migration toward containerized and Kubernetes-based environments Ensure compliance with financial industry security and data protection requirements

What You Bring Strong experience developing AI and machine learning solutions in production environments Hands-on experience with Generative AI, LLMs, and modern AI application architectures Experience building Retrieval-Augmented Generation (RAG) solutions Experience with prompt engineering and agent-based AI frameworks Strong software engineering skills and understanding of full application lifecycles Experience designing scalable backend services and APIs Experience with cloud-native architectures and containerized environments Strong understanding of security, observability, and operational excellence Ability to collaborate effectively with technical and business stakeholders Strong analytical and problem-solving capabilities Experience working in agile and cross-functional teams