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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.
Job Responsibility
Contribute to the design, development, and maintenance of information retrieval and distributed systems
Build and optimize search engines, including indexers, analyzers, ranking, and re-ranking strategies
Work on hybrid search techniques, including dense vector manipulation, rank fusion, and reranking
Maintain and enhance highly scalable search platforms with a focus on performance and cost efficiency
Ensure high availability, reliability, and fault tolerance in search services
Collaborate with cross-functional teams to translate business requirements into technical solutions
Develop and optimize real-time distributed systems, microservices, and message-driven architectures
Implement and maintain monitoring, alerting, and performance metrics for platform reliability
Evaluate and integrate emerging technologies to improve search capabilities
Write clean, modular, and well-tested code while following best engineering practices
Participate in code reviews to ensure quality, maintainability, and scalability
Provide mentorship and technical guidance to junior engineers
Requirements
3-6 years of experience in information retrieval or distributed systems engineering
Strong understanding of search platforms and experience maintaining search engines at scale
Deep knowledge of indexers, analyzers, field mapping, and ranking techniques
Experience with NLP/NLU within the context of information retrieval
Expertise in dense vector manipulation and optimization
Familiarity with hybrid search, rank fusion, and reranking techniques
Proficiency in Go and Python 3 (experience with Rust or TypeScript is a plus)
Strong understanding of distributed systems, microservices, and message-driven architectures
Passion for real-time performance optimization and high availability
Experience with API design using Swagger, OpenAPI, or equivalent tools
Knowledge of gRPC or equivalent RPC protocols
Experience with Docker and Kubernetes for containerized deployments
Familiarity with cloud platforms (GCP preferred, AWS/Azure optional)
Hands-on experience with Infrastructure as Code tools like Terraform or Ansible
Knowledge of CI/CD frameworks and continuous delivery practices