Top Tech Jobs & Startup Jobs in Wilmington, NC

Lead investor relations, capital markets engagement, fundraising, investor and Board communications, valuation analysis, and public-company readiness. Partner with the CEO, CFO, Finance, Legal, and Communications teams to shape Hello Heart’s investment story, build institutional investor relationships, support a Series E financing, and prepare the company for a potential IPO.

Leads the organization’s AI strategy, agentic automation, AI platforms, model strategy, governance, security, and product integration. Oversees global engineering teams, vendors, budget, build-versus-buy decisions, AI adoption, evaluation practices, and regulatory readiness. This hands-on leadership role requires production experience with agentic AI, RAG, cloud AI services, model economics, and enterprise AI governance.

Leads ESI’s Suitability Review unit, ensuring new accounts and transactions comply with written supervisory procedures, regulations, and company policies. Oversees complex suitability decisions, escalations, audits, process improvements, forms, technology projects, vendors, and cross-functional risk management. Develops leaders and associates while promoting accuracy, efficiency, continuous learning, and strong stakeholder communication.

Secure CI/CD pipelines and cloud infrastructure through automated SAST, DAST, vulnerability scanning, IaC enforcement, container security, secrets management, and observability. The intern will use Terraform, Docker, Vault, and monitoring tools to protect applications and AI agents, collaborate with developers on vulnerability remediation, and implement security controls for Node.js, React, and LLM-based systems.

Coordinates strategic AI programs across engineering, product, legal, risk, compliance, security, HR, and business teams. Develops execution plans, governance frameworks, status reporting, risk registers, and executive communications. Supports AI platform and agent deployment initiatives, AI policy development, enterprise training, stakeholder alignment, and adoption. Requires strong program management, AI technology understanding, organizational skills, and experience managing complex cross-functional initiatives.

Create immersive, user-centered experiences across mobile, wearable, spatial, and emerging interfaces. Produce motion studies, wireframes, prototypes, storyboards, conceptual diagrams, and high-fidelity design artifacts. Collaborate on multidisciplinary client projects, help develop workflows and tools, share knowledge, and support immersive, interaction, visual design, marketing, and internal initiatives.

Leads a team responsible for hardware-in-the-loop verification and validation of autonomous trucks. Owns HiL strategy, roadmap, test campaigns, bench development, requirements traceability, safety compliance, defect triage, and V&V reporting. Partners with product, systems, safety, tools, and external vendor teams. Guides testing aligned with ISO 26262 and ISO 21448, including fault handling, safety mechanisms, autonomous driving systems, and performance limitations.

Build and own full-stack, AI-native products for online learning using TypeScript, Vue.js, Node.js, Azure, retrieval pipelines, agentic workflows, model APIs, and LLM evaluations. Lead features from prototype through production, ensuring scalability, security, observability, cost control, and graceful model failure handling. Mentor engineers, establish AI-assisted development standards, conduct code reviews, and collaborate with product and engineering teams in a remote, async-first environment.

Build and own production-grade generative AI applications for legal technology, specializing in RAG, agentic systems, advanced search, embeddings, reranking, evaluation, and LLM workflows. Responsibilities include architecting modular Python applications, refactoring legacy code, implementing testing and observability, optimizing performance and costs, ensuring resilience and security, reviewing code, and supporting deployments and incident resolution.

Lead end-to-end red-teaming campaigns against frontier AI models by defining threat models, designing attack scenarios and taxonomies, coordinating operators, and producing executive risk reports. Establish recurring testing cadences, track exploit families, measure severity and user harm, maintain dashboards, and partner with research, product, and operations teams to validate fixes and run regression tests.