Top Engineering Jobs

As a Pre-Sales Solutions Engineer, you will drive technical pre-sales engagements, architect custom solutions, and guide customers on API integration and deployment strategies, enhancing their experience with Voice AI technologies.

The Pre-Sales Solutions Engineer will engage in technical pre-sales activities, integrating AI solutions with customer needs, and facilitating technical sales processes.

The Solutions Architect will lead enterprise deployments, ensure technical success for customers, and contribute to product improvements. Responsibilities include architecture design, post-sales support, technical problem-solving, and customer engagement.

Design, develop, and maintain scalable backend systems for automated order-taking platforms, collaborating with teams to integrate AI models and optimize performance across noisy environments.

Lead the design and implementation of ML training systems, manage a team, promote engineering culture, and drive product development.

As a Software Engineer at Deepgram for Restaurants, you'll design and maintain scalable backend systems for automated ordering, integrating AI models, optimizing performance, and ensuring smooth interactions with restaurant software.

The role involves leading complex deployments of Deepgram's Voice AI platform for federal customers, managing the full technical lifecycle from discovery to production. Responsibilities include technical delivery, customer integration, and contributing to product development based on field feedback.

The Engineering Manager will lead a team developing web applications and AI tools, optimizing product-led growth strategies and enhancing the developer experience.

Lead engineering teams to design and implement core voice AI APIs. Responsible for team management, project planning, technical strategy, and collaboration with research and product teams.

As Model Evaluation QA Lead, you'll ensure model quality assurance across Deepgram's AI pipeline, designing automated evaluation frameworks, integrating quality gates into release pipelines, and ensuring high standards for model deployments.