Top Tech Jobs & Startup Jobs

The Principal AI Research Engineer will lead research on AI initiatives, design and evaluate models, establish performance benchmarks, and mentor engineers.

As an AI Analyst, you'll drive product impact through quantitative research, conduct data analysis, optimize AI model performance, and generate business analysis reports.

The Enterprise Account Executive will build relationships with Fortune 1000 companies, manage sales processes, and conduct product demonstrations to drive sales of Level AI's platform.

Lead end-to-end implementation of AI virtual agents and CX automation: scope, configure workflows, build integrations, validate performance and guardrails, and partner with customers and product/engineering to optimize deployments.

As a Senior Backend Engineer, you will design and maintain scalable software solutions, embrace innovation with AI tools, and ensure high-quality engineering practices.

Generate qualified outbound opportunities through research, cold calling, and targeted email campaigns. Craft compelling outreach, book meetings, and use data to optimize prospecting and pipeline development.

As a Machine Learning Engineer at Level AI, you'll work on NLP challenges, develop scalable solutions, collaborate with teams, and innovate using cutting-edge ML techniques.

The Lead Software Engineer - AI Agents will design scalable backend systems for AI Agents, developing frameworks for multi-step reasoning and context management, optimizing for performance and cost-efficiency while collaborating with teams to implement best practices for observability and safety in AI systems.

Design, build, and maintain backend systems for an AI-driven contact center platform. Implement REST APIs, database schemas, ETL pipelines, caching, and background jobs; deploy and operate services on GCP using Kubernetes and CI/CD. Collaborate on architecture, ensure engineering best practices, and deliver production-grade features.

Design and implement analytical platforms with insightful dashboards, manage data warehouse schemas, ensure scalable architecture, and oversee data propagation processes.