Sr. Software Development Engineer in Test (Agentic)
About The Position
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. 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.
Requirements
- 6+ years of experience in software engineering or SDET roles with an emphasis on software development.
- Strong programming skills in Python (preferred), Java, or JavaScript.
- Experience testing distributed, cloud-native SaaS systems and APIs.
- Demonstrated proficiency in coding with AI agents to accelerate development and improve code quality.
- Hands-on exposure to LLMs or AI/ML systems (e.g., OpenAI, Claude, Gemini, or similar platforms).
- Understanding of non-deterministic systems and probabilistic testing approaches.
- Experience building test frameworks and scalable automation systems.
- Familiarity with AI evaluation techniques (benchmarking, golden datasets, human-in-the-loop validation).
- Experience with CI/CD pipelines (e.g., Jenkins, GitHub Actions).
- Strong collaboration skills with the ability to work across distributed teams and time zones.
- Bachelor’s degree in Computer Science or equivalent practical experience.
Nice To Haves
- Backend: Python, Go, Google Cloud Platform, Cloud Run / App Engine, Kubernetes, Datastore, Redis, ElasticSearch.
- Frontend: Vue3, React.
- AI Stack: LLM APIs, LiveKit, prompt orchestration frameworks, evaluation tooling.
Responsibilities
- Own end-to-end quality for agentic features and workflows, including strategy, development, execution, and release qualification.
- Design and build automation tooling and frameworks for AI/LLM-driven systems, including prompt flows, agent orchestration, and tool integrations.
- Develop and maintain evaluation frameworks (evals) to measure response quality, accuracy, and hallucination rates.
- Drive automation coverage (80%+ for critical AI workflows) using deterministic + probabilistic validation approaches.
- Integrate AI quality checks into CI/CD pipelines with fast feedback cycles (<15 minutes for PR validation).
- Build tooling for LLM observability and debugging, including prompt tracing and response analysis.
- Partner with Applied AI teams on prompt engineering, model selection, and evaluation strategies.
- Design and execute performance and load tests for AI services (latency, throughput, cost efficiency).
- Identify and mitigate risks related to hallucinations, bias, safety, and edge cases.
- Define and track AI quality KPIs (task success rates, precision/recall, latency, etc.).
- Participate in design and architecture reviews to ensure systems are testable, observable, and resilient.
- Mentor engineers and contribute to raising the bar on AI quality engineering practices.
Benefits
- Competitive salary, comprehensive benefits, and real opportunities for growth
- Competitive benefits and perks
- Cutting-edge AI tools
- A robust training program that help you reach your full potential
- Inclusive offices offering a vibrant environment to cultivate collaboration and connection
- Exceptional culture, repeatedly recognized as a Great Place to Work
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What This Job Offers
Job Type
Full-time
Career Level
Senior
