Agentic AI Engineer 18256

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 looking for an AI / Agent Engineer for a short-term assignment What You Will Work On Build AI-powered tools and agent-based applications Develop LLM-driven solutions using LangChain, LangGraph, or similar frameworks Design and implement generic text-to-SQL capabilities for structured data access Integrate AI agents with enterprise platforms and large-scale data sources Develop SDKs and tooling frameworks that enable teams to build and deploy agents Support migration of legacy data access solutions to Snowflake-based environments Implement secure read-only controls and guardrails for AI-driven data access Ensure aggregation accuracy and business-rule compliance within data solutions Design reusable agent tooling and platform capabilities Collaborate with cross-functional engineering teams on architecture and implementation Maintain high standards for code quality, testing, documentation, and scalability Contribute to the evolution of internal AI and agent ecosystems

What You Bring Strong Python development skills Hands-on experience building LLM-powered applications, tools, or agent systems Experience with LangChain, LangGraph, or similar agent frameworks Strong SQL skills and experience implementing text-to-SQL solutions Experience designing SDKs, developer platforms, or reusable tooling frameworks Strong understanding of software engineering principles and system design Experience building scalable, production-grade applications Focus on code quality, testing, documentation, and maintainability Excellent analytical, problem-solving, and communication skills Ability to collaborate effectively across engineering and product teams