Top Artificial Intelligence Jobs in Raleigh-Durham, NC

Lead the full product lifecycle for verifiable computing solutions focused on AI and data integrity. Define product vision, roadmap, go-to-market strategy, branding, and positioning; lead cross-functional teams; develop strategic partnerships with technology and data platform companies; oversee product content; and monitor trends in AI governance, cybersecurity, and computational integrity.

Build and scale Flywheel’s AI-native content platform as its first technical hire. Responsibilities include backend systems, data pipelines, content-generation workflows, web scrapers, integrations, AI product experiences, and customer-facing interfaces. The role requires end-to-end ownership, production LLM experience or rapid learning ability, strong product judgment, and comfort working directly with founders and users in an in-person London environment.

Leads and grows the engineering team, oversees customer implementations and product delivery, manages stakeholders, balances customization with core product development, and establishes engineering quality and reliability practices. The role also remains hands-on with TypeScript and Node.js coding, code reviews, debugging, and production support. Experience with AI products, healthcare workflows, HIPAA, EHR integrations, and early-stage startups is valuable.

Own customer-facing product development for Clara by supporting live accounts, translating stakeholder needs into product improvements, and shipping customer-specific changes. Build and modify conversational AI strategies, tune prompts and call flows, support onboarding and EHR integration discovery, coordinate go-lives, troubleshoot issues, and improve internal tooling and processes. Collaborate closely with customers, sales, clinical operations, compliance, customer success, and engineering teams.

Design and implement backend features in Go, build data pipelines and REST APIs, work with PostgreSQL and AWS, contribute to scalable system design, and optionally develop React.js user-facing features while collaborating in a fast-paced AI-focused startup.

Design and productionize ML models and agentic systems for intraday financial alpha generation. Build data pipelines, experiment frameworks, and portfolio optimization methods. Collaborate with quants and engineers to move models from research to live trading environments.

Leads end-to-end QA for web and mobile applications, including test planning, execution, reporting, performance testing, security testing, defect management, and release quality assurance. Implements test automation and CI/CD integration while collaborating with product managers, developers, and international teams. The role also drives QA initiatives, investigates vulnerabilities and bottlenecks, and improves quality processes in a fast-paced startup environment.

Open application inviting AI engineers, full-stack developers, data scientists, finance experts and others to apply. Candidates should submit a resume/LinkedIn, links to work (GitHub, Kaggle, portfolio) and a brief note explaining motivation, value they bring, and desired roles or projects.

Fine-tune and align LLMs for specialized financial tasks; build agentic solutions with LangChain/Autogen; engineer ML pipelines for large financial datasets; deploy, monitor and scale production models; track AI research and integrate emerging tooling.

Support CEO and leadership on market intelligence, financial modelling, go-to-market strategy, partnerships and PMO. Run competitor analysis, size segments, build investor-ready business plans, craft value propositions and support partner negotiations while tracking cross-functional OKRs and dashboards.

SynX Therapeutics, a biotech start-up, invites speculative applications for future roles related to drug discovery and engineered biology.

Design and build interfaces across HUD’s AI data platform and marketplace. Translate complex agent runs, evaluation results, reward signals, and reinforcement learning workflows into clear, actionable products. Partner with users, researchers, and engineers; conduct user research; ship and refine experiences; establish reusable interaction patterns; and maintain high standards for usability, visual quality, and implementation.

Generate outbound pipeline for Xint by targeting enterprise and high-growth software companies, engaging AppSec and security leaders through email, phone, and LinkedIn, qualifying inbound leads, booking sales meetings, maintaining HubSpot records, attending Bay Area security events, and helping develop the outbound sales playbook.