3 months ago
Base Salary
$155k - $193k/yr
Responsibilities
- Build and ship end-to-end services, integrations, internal tooling, and agent or prompt-engineering solutions.
- Design, develop, and maintain production-scale integrations with customer systems such as point-of-sale, loyalty, payment gateways, and customer data platforms.
- Embed with strategic customers, work directly with their technical and business teams, and visit customer sites regularly.
- Monitor, debug, and optimize production systems, including voice AI deployments in noisy and multi-microphone environments.
- Test changes against live production data and measure accuracy, latency, and throughput.
- Collaborate with research and product teams to extend the platform and turn field learnings into reusable product capabilities.
- Contribute to solution scoping, statements of work, product feedback, documentation, automation, and Applied Engineering strategy.
Requirements
- Bachelor’s or master’s degree in Computer Science, Engineering, or a related field, or a record of building work that speaks for itself.
- Hands-on experience developing and deploying backend systems in production through internships, co-ops, industry experience, or projects shipped to live users.
- Experience with cloud-based infrastructure and API design.
- Ability to proactively identify problems and care about the impact of engineering work.
- Strong relationship-building, situational awareness, initiative, and coachability for customer-facing work.
- Preferred experience with audio or voice interfaces, systems integrating multiple third-party APIs, point-of-sale systems, or taking systems from zero to one.
- Depth in one or more modern programming languages and flexibility to learn additional languages.
- Preferred experience with Docker, Kubernetes, or presenting technical information to non-technical audiences.
Benefits
- Regular customer-site visits are expected at least once or twice per month, with on-site time potentially reaching 80% during major engagements.
- The role maintains an in-office presence in either San Francisco or New York City.
- Employees receive an accelerated Forward-Deployed onboarding program and work with a senior Forward-Deployed Engineer who reviews their work.
- The role offers a single Applied Engineering growth ladder from Associate through Principal.
Categories
Forward Deployed
About Deepgram
Deepgram builds Voice AI infrastructure for developers, offering speech-to-text, text-to-speech, and voice agent tooling through real-time APIs and deployable on-prem software. Privately held and founded in 2015, the company is headquartered in San Francisco. Customers such as Twilio, Cloudflare, and Jack in the Box use its models to power production voice features; products include Nova-3 STT, Aura TTS, and a Voice Agent API.