Top Artificial Intelligence Jobs in Raleigh-Durham, NC

Software Engineering Intern working across the technology stack to build semantic search, agentic AI systems, graph data solutions, and production-quality software. The role requires at least 20 hours per week and involves solving complex problems in an early-stage startup environment with significant ownership and experimentation.

Design and deploy production-ready LLM pipelines and agentic workflows, automate large-scale multimodal dataset pipelines, monitor and improve agent performance, and integrate AI agents with 3D scene composition. The role also involves process documentation, incident response, and continuous improvement, with collaboration across the engine team and company founders.

Work as a Python development intern building applications and APIs, processing and analyzing data, working with databases and data pipelines, contributing to system architecture, writing clean documented code, and collaborating with the team. Strong emphasis on backend development, SQL, ORMs, and REST API design with potential conversion to full-time.

Lead enterprise customer success for national home care networks and health systems. Own pilots through expansion, run executive cadence, diagnose workflows, coordinate technical triage with engineering, build onboarding/playbooks, influence roadmap, and travel for go-lives and QBRs (~30%).

Build end-to-end features across frontend and backend using React/TypeScript and Node.js (some legacy Go). Collaborate with design, ship via continuous deployment, debug and monitor production, use AI coding tools, and make product and technical decisions while owning delivered features.

Build reference software codebases, support NGOs developing generative AI products, integrate diverse data sources, create experimentation tools, and deliver rapid cloud-based solutions. The role includes advising and mentoring partner organizations, conducting rigorous experiments, improving analytics infrastructure, organizing technical workshops, and visiting NGO sites to identify technical needs. Candidates need strong full-stack engineering, backend, data engineering, cloud, database, and generative AI experience.

Lead growth marketing across a studio and portfolio ventures: source contacts, run outbound sequences, build SEO-optimized content architectures, automate workflows, manage social presence, use AI for drafting, and optimize campaigns with data-driven experiments to drive customer acquisition and brand visibility.

Support the sales team by identifying leads, conducting market research, preparing sales materials and proposals, participating in meetings and presentations, and collaborating with cross-functional teams to help drive business development and ensure client satisfaction.

Owns the technical setup and validation of new client launches, including practice configuration, clearinghouse connections, payer enrollments, claims, Twilio communications, card processing, payment flows, and JSON configurations. Troubleshoots vendor integrations, tests systems end to end, documents setups and fixes, manages multiple implementations, and partners with onboarding teams to ensure timely, reliable go-lives.

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.