Dialpad
business communications
FoundingAISystemsEngineer
Neural analysis suggests this role is
optimal for Entry candidates.
“Founding AI Systems Engineer at Dialpad. Skills: AI Systems Engineering, production infrastructure, AI capabilities into reliable and scalable production, AI Platform Engineering, shipping new capabilities, improving existing ones, learning from production behavior, machinery by which a growing AI organization can repeatedly deliver real capability into production. help build that machinery. connect AI capability development to production reality”
What You'll Achieve.
reduce the time and friction required to get in-house AI capabilities into reliable and scalable production; make the broader AI Platform organization faster, safer, and more effective at turning in-house AI capability into production reality
Industry & Context.
solve complex debugging challenges; consequential junctions: between training outputs and deployable artifacts, between runtime systems and safe release, between quality claims and evidence, and between ambitious AI plans and systems that can actually carry them
What They're Looking For.
Must Have
Bachelor's degree in Computer Science, Engineering, or equivalent related experience, 2 to 6 years of professional software engineering experience, proven track record of shipping production infrastructure or real systems that matter, Experience in writing solid, maintainable production code, applying software engineering fundamentals to solve complex debugging challenges, Experience in operating within ambiguous, cross-functional environments where requirements evolve and interfaces are real, Expertise in building for reproducibility, operability, and rollout safety, focusing on the quality of change rather than just local implementation
Nice to Have
Experience with cloud infrastructure, containerized environments, managed ML platforms, or service orchestration systems, Experience with model serving, deployment systems, experiment tracking, artifact/version management, or ML lifecycle tooling, Experience with distributed systems, service platforms, search/relevance systems, internal enablement tooling, or production AI platforms, Experience with testing, benchmarking, experimentation systems, or evaluation frameworks that informed release decisions, Exposure to applied AI, speech, conversational systems, customer-facing workflows, or other production ML domains
What You'll Do.
help build that machinery
connect AI capability development to production reality
Improving how model and capability artifacts are packaged
Building or improving deployment and release pathways for AI-backed services
Enabling shadow-serving
and candidate-versus-incumbent comparison
Strengthening runtime behavior
and debugging for model-backed systems
Building or automating evaluation systems that make release decisions evidence-based
Reducing bespoke coordination and strengthening the shared rails used by multiple AI teams
How You'll Work.
Team & Collaboration
operating within ambiguous, cross-functional environments; Reducing bespoke coordination and strengthening the shared rails used by multiple AI teams; enable the broader AI Platform division
Full Job Description
About Dialpad Dialpad is the AI-native business communications platform. We unify calling, messaging, meetings, and contact center on a single platform - powered by AI that understands every conversation in real time. More than 70,000 companies around the globe, including WeWork, Asana, NASDAQ, AAA Insurance, COMPASS Realty, Uber, Randstad, and Tractor Supply, rely on Dialpad to build stronger customer connections using real-time, AI-driven insights. We’re now leading the shift to Agentic AI: intelligent agents that don’t just analyze conversations but take action by automating workflows, resolving customer issues, and accelerating revenue in real time. Our DAART initiative (Dialpad Agentic AI in Real Time) is redefining what a communications platform can do. Visit dialpad.com to learn more. Being a Dialer At Dialpad, AI isn’t just a feature; it’s how our teams do their best work every day. We put powerful AI tools in every employee’s hands so they can move faster, think bigger, and achieve more. We believe every conversation matters. And we’ve built the platform that turns those conversations into insight and action, for our customers and ourselves. We look for people who are intensely curious and hold themselves to a high bar. Our ambition is significant, and achieving it requires a team that operates at the highest level. We seek individuals who embody our core traits: Scrappy, Curious, Optimistic, Persistent, and Empathetic. Your role We are hiring founding AI Systems Engineers to help build that machinery. This role is for engineers who like consequential junctions: between training outputs and deployable artifacts, between runtime systems and safe release, between quality claims and evidence, and between ambitious AI plans and systems that can actually carry them. This is not a research role, and it is not a generic support role. It is an implementation-heavy, building-focused engineering role on a small team responsible for making in-house AI capabilities eas
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