Top Artificial Intelligence Jobs in Raleigh-Durham, NC

Lead and execute high-volume (10,000+/month) outbound email campaigns for US SMBs: craft copy and subject lines, segment lists, optimize deliverability, analyze performance, and align messaging with sales and marketing.

Build and deploy production AI agents for real customers. Responsibilities include orchestrating LLM pipelines, integrating APIs and tools, developing React interfaces, implementing RAG and document-processing systems, deploying serverless applications, and monitoring performance. The role requires strong Python or JavaScript skills, hands-on OpenAI and multimodal LLM experience, vector databases, agent frameworks, function calling, and full-stack integration. Applicants must be pursuing a Master's or PhD in a technical field.

Invitation to join Fexa's Talent Network to receive company updates, new role notifications, and insights into culture and events. Stay connected so recruiters can reach out about future remote-first opportunities.

Join as a full-stack software engineer to design, develop, and maintain web applications and services. Collaborate cross-functionally, write clean code, perform code reviews, debug issues, and stay current with industry trends.

The role involves creating and publishing daily social media content targeting Korean students preparing for TOEFL, using performance metrics for improvement.

Manage inbound lead funnel and sales pipeline, conduct discovery calls, provide tailored demos, develop business cases, and mentor new team members in a fast-growing software company.

Own and execute Decoda's content and inbound growth strategy across social, blog, SEO, and paid channels. Produce short-form video and written content, design experiments to optimize engagement and cost-per-lead, manage paid and organic performance, implement analytics and attribution (GA4, UTM), track funnel metrics, and collaborate with leadership to align content with sales and brand priorities.

Build, maintain, and improve production AI services for document understanding including LLM pipelines, background jobs, databases, and internal tools. Implement features, debug production issues, write tests, and contribute to evaluation frameworks to improve model quality and system reliability. Collaborate with a small engineering team and take increasing ownership over platform components.

Design, develop, customize and maintain enterprise Sitecore solutions (versions 9/10, SXA, JSS, XM Cloud). Produce technical specs, implement components, test and debug in test and production, support teammates, perform demos to customers, and escalate/resolve issues.

Build and own the technical roadmap: design AI-first interfaces and APIs, architect scalable ETL pipelines, develop data models for ML features, ship autonomous B2B workflows (PO generation, vendor sync, schedule optimizations), and establish engineering standards, CI/CD, and mentoring.