Top Artificial Intelligence Jobs

Own Vocode's sales pipeline and drive enterprise deals to close. Take over active customer conversations, prioritize new markets, and develop sales collateral, terms, and onboarding. Work with ops leadership to build a high-performance sales function and sell to technical stakeholders using CRM and outreach tools.

Provide financial management support for DIU: formulate and execute budgets, align resources to contracts and program milestones, analyze program/acquisition data, certify funding availability, advise on fiscal law and policy, support financial systems and audit compliance across offices.

Architect and build autonomous AI agents for revenue operations: develop agentic systems using LangChain/LlamaIndex, implement RAG and prompt engineering, integrate with Salesforce and cloud services, optimize LLM inference, and add observability and scalable deployments to drive predictive sales and customer success automation.

Design, build, and operate large-scale distributed production systems focused on latency, reliability, and correctness. Own systems end-to-end, reason about architecture and failure modes, optimize performance vs. correctness, and ship production-quality infrastructure rapidly in an early-stage startup environment.

As the second engineer, you'll own core real-time voice→intent→action systems, design APIs/services for long-running stateful agent tasks, ship polished user-facing features, and improve reliability, observability, and performance. You will influence product direction and company culture while operating end-to-end from design through production and iteration.

Design, prototype, and validate high-voltage DC power conversion and distribution systems (including 800V-class). Develop gate drivers, protection/sensing, and perform SPICE-based simulation, PCB/layout optimization, and high-power lab testing. Integrate with embedded control platforms and collaborate across thermal, mechanical, and system architecture teams to deliver validated hardware quickly.

Build scalable backend systems for policy management, real-time decision workflows, agent orchestration, integrations, and observability. Design APIs and data models across relational, NoSQL, and graph stores, implement telemetry/auditability, and operate services in production while collaborating with product and engineering to shape requirements and rollouts.

Design, build, and operate scalable, reliable cloud infrastructure. Maintain AWS/GCP and Linux systems, Kubernetes clusters, CI/CD pipelines, and monitoring (Prometheus/ELK). Automate operations, troubleshoot production issues, run on-call, conduct reviews, and evaluate new technologies to improve availability and performance.

Owns financial modeling, long-range planning, and capital analysis to inform executive decisions and investor materials. Builds scenario and sensitivity models, leads annual planning and reforecasting, evaluates initiatives and pricing, partners with cross-functional teams to define KPIs, and improves financial processes and data quality.

Work on the customer-facing full‑stack product for warehouse packing: design and implement frontend, backend, and cloud infrastructure; own deployments, monitoring, and fixes; collaborate with product and customers; improve CI/CD, testing, and observability; use AI tools in the development workflow.