Top Tech Jobs & Startup Jobs in Fayetteville-Springdale-Rogers,

Research, draft, and manage grant applications to government, foundation, and corporate funders. Identify opportunities, write persuasive proposals and budgets, manage submission timelines and compliance, collaborate with leadership to gather data, maintain a grant tracking system, and prepare progress reports and impact summaries for awarded grants.

The BizOps Lead will advise the CEO, manage strategic initiatives, coordinate programs, prepare communications for stakeholders, and lead special projects.

Create short-form finance and Excel content that demonstrates TabAI workflows, engage and educate audiences across social platforms, experiment with formats and insights, collaborate with TabAI on prompts and creative direction, and drive subscriptions via affiliate links while building a personal brand.

General application to match applicants with Launch Institute of Technology training programs in AI, clean energy, and advanced technology. Collects background, interests, and location to determine program eligibility and availability (remote/hybrid varies by state).

Work directly with customers to design, deploy, and integrate end-to-end AI evaluation pipelines. Curate data, define annotation schemes, set up LLM-based judges, run initial experiments, produce actionable results, and translate technical systems into practical workflows for users.

Build production-grade LLM systems and RAG/agent applications, embed with client engineering teams, transfer knowledge, create curriculum and educational content, and contribute reusable patterns, documentation, and internal tooling while ensuring production quality and operational readiness.

Lead strategic finance engagements including financial and operating modeling, unit economics, cash management, and transaction support (M&A, equity/debt fundraising). Advise C-suite, implement process automation, oversee external providers, and deliver actionable recommendations to improve profitability, cash flow, and capital structure.

The AI Engineer will build data pipelines and improve ML systems for reliability in production. Responsibilities include schema design, data infrastructure, and model evaluation, ensuring high-quality outputs and integration with product workflows.

Six-month engineering internship building production backend services and AI pipelines. Design SQL schemas (PostgreSQL), implement SaaS integrations (REST APIs, webhooks), work with embeddings, transformer models and vector databases, build end-to-end data processing pipelines, and contribute to code reviews and architecture discussions.

Build and maintain core backend services and frontend interfaces for a music metadata and royalties platform. Own features end-to-end, collaborate with founders and designers, optimize for performance, security, and scalability, and integrate modern AI and infra tools.