AI Data Engineer
Experlogix3 months ago
Remote, WorldwideMid Level
Responsibilities
- Build and run end-to-end agentic workflows and process automations that extract data, invoke AI models, call tools, retrieve information, write results to systems of record, and operate with evaluation, monitoring, and guardrails.
- Build and maintain data pipelines, integrations, and baseline and impact measurement data for the AI portfolio.
- Maintain and extend Power BI reporting, including semantic models, report building, and support for business users’ questions.
- Participate in discovery workshops, assess automation feasibility, and recommend custom development, Copilot Studio, SaaS-embedded AI, or no automation.
- Deliver production automations, reusable pipeline patterns, evaluation harnesses, monitoring, and measurement dashboards.
Requirements
- 4+ years of experience building production data pipelines and integrations.
- Experience with Python and/or C#, SQL, REST APIs, Azure Data Factory, Azure Functions, Blob Storage, and DuckDB.
- Hands-on experience building agentic solutions with LLM APIs, including Azure AI Foundry, OpenAI, Anthropic, or similar platforms.
- Experience with RAG, structured output, tool-calling, agentic frameworks, and testing or evaluating AI outputs.
- Daily use of agentic coding tools such as Claude Code, Cursor, Antigravity, GitHub Copilot, or similar tools.
- Working proficiency with Power BI, including data modeling, DAX, and report design.
- Software engineering experience with version control, code review, CI/CD, and monitoring.
- Strong communication with non-technical colleagues and the ability to turn unclear process descriptions into technical designs.
- Pragmatic approach to shipping iterative solutions and recognizing when automation is not appropriate.
- Experience in B2B SaaS operations, Copilot Studio or Power Platform, SaaS-embedded AI, privacy-aware data handling, or Dutch language skills are nice to have.
Benefits
- Ground-floor role in a board-sponsored AI transformation program with real budget and executive visibility.
- Direct mentorship from a hands-on technical director and first-hire influence over tooling, architecture, and engineering standards.
- Opportunities for personal and professional growth in a company that emphasizes careers rather than jobs.
- The company has offices in the US, Canada, Belgium, Ireland, and the Netherlands, with remote team members worldwide.
Categories
AI ApplicationsData Engineering
About Experlogix
Experlogix builds enterprise SaaS for configure-price-quote (CPQ), document automation, and B2B digital commerce, used by firms with complex product and pricing needs. Its products integrate with Microsoft Dynamics 365, Salesforce, and major ERP systems, sold via subscriptions and professional services. Founded in 2000 and headquartered in South Jordan, Utah, Experlogix is privately held under Featheringill Capital and supports customers across North America and Europe.