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