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Dialpad

Sr. Software Engineer, Applied AI Systems

Sorry, this job was removed at 12:39 p.m. (MST) on Wednesday, Sep 09, 2026
In-Office or Remote
Hiring Remotely in CA, USA
204K-233K Annually
Senior level
In-Office or Remote
Hiring Remotely in CA, USA
204K-233K Annually
Senior level

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Build scalable backend and distributed systems for agentic AI applications. Partner with Applied Scientists to productionize models, evaluation methods, and AI capabilities. Develop APIs, data flows, deployment and monitoring systems, and safe rollout processes for low-latency AI services. Improve reliability, scalability, performance, and cost efficiency while contributing to DialpadGPT and collaborating across research, product, and engineering teams.
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About Dialpad
Dialpad is the AI platform for customer experience, built to resolve customer problems in real time across voice and digital. Our AI agents learn from your best human agents and improve with every interaction, helping organizations understand their customers, deliver better experiences, increase operational efficiencies, and build a lasting competitive advantage.

Unlike legacy systems built to route and answer, or standalone agentic bot vendors built to deflect, Dialpad was built to resolve. Our AI agents and human agents operate on a single platform with shared context, allowing Agentic AI to resolve issues, advance deals, and eliminate busywork through automation while seamlessly handing conversations to humans when needed, with full context preserved.

Market-leading brands, including Randstad, Motorola Solutions, Netflix, the San Diego Padres, the Colorado Rockies Baseball Club, and Cal Athletics, trust Dialpad. Dialpad is backed by Andreessen Horowitz, GV, ICONIQ Capital, and T-Mobile.

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
Dialpad is building AI that helps businesses communicate, resolve customer needs, and automate work in real time. Our Applied AI team develops models, agentic capabilities, and evaluation methods that power these experiences.

As a Sr. Software Engineer, Applied AI Systems, you will build the software systems that power Dialpad’s next-generation agentic AI. You will work closely with Applied Scientists and partner with engineering teams to turn advanced AI capabilities into reliable, scalable customer-facing experiences.

This is a hands-on role for an engineer who enjoys building agentic systems at the intersection of AI, backend services, and product delivery. You will help shape how DialpadGPT models are integrated, evaluated, monitored, and deployed in next-generation AI products, including real-time conversational experiences.

What you’ll do

  • Design and build scalable backend services and distributed systems for agentic AI applications.
  • Partner with Applied Scientists to bring models, evaluation methods, and agentic capabilities from prototype to production.
  • Build software that connects models, tools, data, and evaluation feedback into robust AI experiences.
  • Develop APIs, data flows, and integration patterns for low-latency, high-quality AI services.
  • Build systems for model deployment, release management, monitoring, evaluation, and safe rollout.
  • Improve the reliability, latency, scalability, and cost efficiency of production AI systems.
  • Contribute to the evolution of DialpadGPT and the engineering systems that support next-generation agentic experiences.
  • Work across engineering, product, and research to resolve complex technical problems and deliver measurable customer impact.

What you’ll bring

  • 5+ years of professional software engineering experience building and operating production services.
  • Strong experience with backend systems, distributed services, APIs, and cloud-based infrastructure.
  • Experience building agentic systems, LLM-powered applications, model-serving systems, or AI-enabled backend services in production.
  • Strong programming skills in Python and/or other backend languages, with a focus on clean, maintainable, well-tested code.
  • Experience with service observability, debugging, performance optimization, and production incident response.
  • Ability to work effectively in an ambiguous, fast-moving environment and translate technical prototypes into durable systems.
  • Strong communication and collaboration skills, especially when working with Applied Science, product, and engineering partners.

For exceptional talent based in California, the target base salary range for this position is posted below. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the target range for new hire salaries for the position. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits.

California Salary Range
$204,000—$232,500 USD

Why Join Dialpad

  • Work at the center of the AI transformation in business communications
  • Build and ship agentic AI products that are redefining how companies operate
  • Join a team where AI amplifies every employee’s impact
  • Competitive salary, comprehensive benefits, and real opportunities for growth

We believe in investing in our people. Dialpad offers competitive benefits and perks, cutting-edge AI tools, and a robust training program that help you reach your full potential. We have designed our offices to be inclusive, offering a vibrant environment to cultivate collaboration and connection. Our exceptional culture, repeatedly recognized as a Great Place to Work, ensures that every employee feels valued and empowered to contribute to our collective success.

Don’t meet every single requirement? If you’re excited about this role and possess the fundamental traits, drive, and strong ambition we seek, but your experience doesn’t meet every qualification, we encourage you to apply. 

 Dialpad is an equal-opportunity employer. We are dedicated to creating a community of inclusion and an environment free from discrimination or harassment.

Dialpad Denver, Colorado, USA Office

250 Fillmore, Unit 201, St., Denver, United States, 80206

What you need to know about the Colorado Tech Scene

With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.

Key Facts About Colorado Tech

  • Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
  • Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
  • Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
  • Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute

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