+ 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