AI/Agentic Systems Product Intern at FieldPulse in Dallas, TX

Summary: FieldPulse is a growing team building modern applications for small home service businesses. They are seeking an AI/Agentic Systems Product Intern to work on AI-powered products that automate real business workflows and improve the product experience through research and collaboration with cross-functional teams. Responsibilities: - Analyze AI system interactions and evaluation results to identify failure patterns, edge cases, and opportunities for improvement - Support prompt engineering efforts by reviewing system prompt iterations and tracking their impact on AI system performance and user outcomes - Help build and maintain evaluation test cases – writing scenarios based on real customer interactions to stress-test AI-powered features and agentic systems - Assist in monitoring and reporting on key metrics: AI task completion rates, accuracy, user engagement, and adoption patterns - Research and prototype new AI-powered features and workflows that could improve the FieldPulse product experience - Conduct research on customer onboarding and usage patterns to inform product decisions - Translate complex AI concepts and technical findings into clear, accessible language for non-technical stakeholders including customer success, marketing, and leadership - Collaborate cross-functionally with Engineering, Customer Success, and Marketing during weekly syncs and planning sessions - Contribute to product documentation, internal dashboards, and analysis that drives roadmap decisions Required Qualifications: - Current student pursuing a degree in Business, Computer Science, Information Systems, or a related field - Strong analytical skills – comfortable working with data, spotting patterns, and drawing conclusions - Genuine curiosity about AI, large language models, and how they're applied to real products - Ability to explain complex AI concepts to non-technical audiences – you can bridge the gap between what the technology does and why it matters - Excellent written and verbal communication – able to clearly document findings and present insights - Highly organized and comfortable working in a fast-paced, collaborative environment - Strong understanding of LLMs and prompt engineering - Basic understanding of SQL – able to read and run queries to pull specific data, even if you're not writing them from scratch Preferred Qualifications: - Familiarity with basic Python/scripting is a plus, as is exposure to concepts like MCP tooling or RAG pipelines - Experience with AI-assisted development tools (e.g., Claude Code, Lovable, V0, Figma Make) or vibe coding is a plus, as is experience with automation software (e.g., Zapier, n8n) - Familiarity with Jira, Figma, or Notion is helpful but not required Required Skills: AI system analysis, prompt engineering, large language models Important Skills: analytical skills, SQL Nice-to-Have Skills: research skills, communication skills, organizational skills, collaboration, documentation Benefits: Hands-on experience working on a live SaaS product used by real customers., Exposure to the full product development lifecycle – from research to launch., Mentorship from experienced product managers and cross-functional teammates., The opportunity to contribute to meaningful projects that improve customer experience., A collaborative, fast-paced work environment with room to learn and grow.