Top Artificial Intelligence Jobs in Raleigh-Durham, NC

Support the sales team by managing client relationships, meeting with clients online to assess needs, following up on leads, reaching out to prospects, and maintaining client data in a CRM to ensure satisfaction and growth.

First engineering hire to build end-to-end features across React frontends and C#/.NET (and Python) backends, work with PostgreSQL and MongoDB, integrate third-party automotive APIs, use agentic AI coding tools, and collaborate on architecture and engineering culture.

Lead end-to-end full-stack development across React frontends and compiled backends, influence architecture and data modeling, integrate third-party dealership APIs, use AI-assisted coding tools daily, set engineering standards, ship production features to live dealership users, and mentor junior engineers.

Create and optimize high-quality, mobile-optimized character shaders and material workflows in Unity URP. Develop master materials, tools, and editor extensions (C#). Profile and debug performance on iOS/Android, collaborate with artists on look development, and ensure efficient rendering across mobile devices.

Full Stack Engineer responsible for building responsive frontends (JS/TS, React preferred) and backend services (Python, Go, or Node.js/TypeScript), designing RESTful APIs, managing databases (Postgres/MongoDB), and deploying on cloud (AWS). Collaborate with teams, optimize performance, and apply DevOps practices (Docker, Kubernetes, CI/CD). Requires strong problem-solving, communication, and 3+ years of experience.

Design and build a scalable, responsive UI; lead frontend architecture and optimization; apply UI/UX best practices; integrate with backend APIs; ensure high web performance and deploy user-facing features.

Join a remote engineering team to write, test, and maintain code under senior guidance; participate in code reviews, standups, and sprint planning; debug and resolve application issues; and continuously learn new technologies and best practices.

Design, develop, and maintain scalable backend systems for a composite AI platform (agent-based systems, LLM integrations, RAG). Own technical vision and roadmap, make architecture decisions, establish engineering best practices, provide senior technical leadership, and deliver high-impact production software.

Build and own user-facing features and core platform architecture across frontend, backend, and ML pipelines. Integrate AI workflows (LLMs, embeddings) for curriculum generation and automated evaluation. Manage end-to-end development: requirements, design, implementation, CI/CD, testing, observability, and iteration while collaborating with product, design, ML, and customer teams.

Design, build, and productionize LLM-powered systems (adaptive content, tutors, evaluators) and AI pipelines (RAG, embeddings, fine-tuning). Prototype and optimize models across modalities, define AI safety/evaluation/observability practices, and collaborate with product and engineering to measure learner outcomes and iterate.

Support the sales team by conducting cold calls, generating leads, assisting with sales strategies, handling administrative tasks, maintaining customer databases/CRM, and collaborating to meet sales targets while gaining hands-on experience.

Lead the Asset Intelligence product area: define asset data foundation strategy, own roadmaps for one-to-two engineering pods, write PRDs, measure outcomes tied to revenue, prioritize portfolio investments, collaborate across engineering, data, design, sales and customers, and evaluate AI solutions to strengthen asset functionality and enterprise opportunities.

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.

Own a geographic territory to build pipeline and close new enterprise customers. Run complex, multi-stakeholder sales cycles from discovery through contract, coordinate cross-functional teams, maintain forecasting and CRM hygiene, represent the company at events, and achieve quota with ~20% travel.

Senior Software Engineer to design and implement C++/Python software, accelerate workloads with CUDA, develop and maintain Linux kernel modules and system services, optimize system and GPU performance, manage Linux systems, mentor junior engineers, and integrate AI technologies across products.

Design, deploy, and maintain HPC and MLOps infrastructure across cloud and on-prem clusters. Manage schedulers (Slurm/PBS), optimize MPI/CUDA stacks, storage and networking, automate deployments with Python/Bash, instrument systems, and enable AI training/inference pipelines while collaborating with product and support teams.

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.