Plaud

2 months ago

Software Engineer - San Francisco

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Engineer vertical Agent workflows for Sales/Health use cases, delivering production-grade backend services with high availability and low latency. You’ll collaborate with Product, Applied AI, and GTM teams to enable rapid iteration, evaluation frameworks, and data feedback loops, leveraging AI tools to improve engineering efficiency and drive vertical expansion.

Location: San Francisco

Workplace: Hybrid

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Vertical Agent Core Development & Delivery: Engineer and deliver vertical Agent workflows for Sales/Health use cases; build and iterate key modules including tool orchestration, memory, and multi-step reasoning; translate business requirements into scalable backend/service capabilities.
•Production-Grade System Engineering: Design and implement production-ready service architecture with high availability, low latency, and scalability; establish monitoring, logging, alerting, and reliability foundations; support stable delivery for both high-frequency consumer usage and enterprise deployment needs.
•Evaluation and Data Feedback Loop Enablement: Contribute to Agent evaluation frameworks, including automated testing and quality benchmarking; partner with Applied AI and Product teams to build closed-loop iterations via real-world data; ensure continuous improvement of vertical Agent performance in production settings.
•Cross-functional Collaboration & Rapid Iteration: Work closely with Product, Applied AI, and GTM teams to execute high-priority delivery milestones; support parallel iterations across enterprise PoCs and consumer-facing features; drive modularization and reusability to accelerate future vertical expansion.
•Leveraging AI Tools to Improve Engineering Efficiency: Actively adopt AI coding assistants, automated test generation, and debugging tools to enhance development velocity; accelerate iteration speed while maintaining strong engineering quality standards.

Pay and Benefits

Perks:Health InsuranceDentalVision401kEquityPaid LeavePaid Holidays

Key Requirements

•3-5 years of hands-on software engineering experience with a track record of delivering critical components end-to-end
•Proficiency in at least one backend language (Python, Go, Java, C++, etc.)
•Experience building scalable online services, including API design, async workflows, and microservice architectures
•Familiarity with distributed systems fundamentals: databases, caching, messaging systems and performance optimization
•Strong interest in LLM applications, AI agents, or workflow automation, and ability to translate prototypes into production-ready solutions

Experience:3-5 yearsAIDistributed systemsBackend

Skills:Problem solvingCommunicationCollaborationLeadership

Languages:English

Tech Stack:PythonGoJavaC++API designMicroservicesDistributed systemsDatabasesCachingMessagingLoggingMonitoringCI/CD

Company Brief

Plaud

Builds AI-native hardware and software note-taking devices and apps (Plaud NOTE, NotePin) that record, transcribe, summarize, and extract insights from conversations to boost professional productivity.

Industry: Hardware Devices

Company Size: Medium (51 to 250 employees)

Revenue: USD 100M to 250M

Growth: Scaleup

Funding: Bootstrapped

Headquarters: San Francisco, United States

Founded: 2021

Website LinkedIn

Loading job details...

Preparing the role view and application actions.

Plaud

2 months ago

Software Engineer - San Francisco

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Location: San Francisco

Workplace: Hybrid

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Vertical Agent Core Development & Delivery: Engineer and deliver vertical Agent workflows for Sales/Health use cases; build and iterate key modules including tool orchestration, memory, and multi-step reasoning; translate business requirements into scalable backend/service capabilities.
•Production-Grade System Engineering: Design and implement production-ready service architecture with high availability, low latency, and scalability; establish monitoring, logging, alerting, and reliability foundations; support stable delivery for both high-frequency consumer usage and enterprise deployment needs.
•Evaluation and Data Feedback Loop Enablement: Contribute to Agent evaluation frameworks, including automated testing and quality benchmarking; partner with Applied AI and Product teams to build closed-loop iterations via real-world data; ensure continuous improvement of vertical Agent performance in production settings.
•Cross-functional Collaboration & Rapid Iteration: Work closely with Product, Applied AI, and GTM teams to execute high-priority delivery milestones; support parallel iterations across enterprise PoCs and consumer-facing features; drive modularization and reusability to accelerate future vertical expansion.
•Leveraging AI Tools to Improve Engineering Efficiency: Actively adopt AI coding assistants, automated test generation, and debugging tools to enhance development velocity; accelerate iteration speed while maintaining strong engineering quality standards.

Pay and Benefits

Perks:Health InsuranceDentalVision401kEquityPaid LeavePaid Holidays

Key Requirements

•3-5 years of hands-on software engineering experience with a track record of delivering critical components end-to-end
•Proficiency in at least one backend language (Python, Go, Java, C++, etc.)
•Experience building scalable online services, including API design, async workflows, and microservice architectures
•Familiarity with distributed systems fundamentals: databases, caching, messaging systems and performance optimization
•Strong interest in LLM applications, AI agents, or workflow automation, and ability to translate prototypes into production-ready solutions

Experience:3-5 yearsAIDistributed systemsBackend

Skills:Problem solvingCommunicationCollaborationLeadership

Languages:English

Tech Stack:PythonGoJavaC++API designMicroservicesDistributed systemsDatabasesCachingMessagingLoggingMonitoringCI/CD

Company Brief

Plaud

Industry: Hardware Devices

Company Size: Medium (51 to 250 employees)

Revenue: USD 100M to 250M

Growth: Scaleup

Funding: Bootstrapped

Headquarters: San Francisco, United States

Founded: 2021

Website LinkedIn