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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Backend Engineer - Palo Alto - **Company:** PLAUD INC. - **Location:** San Francisco, CA, United States - **Experience:** Expert - **Salary:** $159,000.0 - $219,000.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Artificial Intelligence, Systems Engineering, Automation of Tests, C++ (Programming Language), Code Review, Databases, Data Structures, Software Debugging, Distributed Systems, Python (Programming Language), Enterprise Messaging Systems, Online Service Provider, Performance Tuning, Software Engineering, Data Logging, System Availability, Large Language Models, Caching, Core Api, Backend, Low Latency, Virtual Agents, Api Design, Golang, Microservices - **Published:** September 4, 2026 - **Apply:** https://startup.jobs/senior-backend-engineer-palo-alto-plaud-8103962 ## About the Role * Strong Software Engineering Execution + 5+ years of hands-on software engineering experience, with proven ability to own and deliver critical components end-to-end + Solid computer science fundamentals, including data structures, algorithms, and system design principles + Ability to consistently deliver high-quality output in fast-paced environments * Backend / Distributed Systems Expertise + 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 * Production-grade Engineering Excellence + Strong experience delivering production systems with a focus on reliability, latency, and scalability + Knowledge of observability best practices, including logging, monitoring, alerting, and tracing + Commitment to engineering rigor through automated testing, CI/CD pipelines, and disciplined code review * Interest and Capability in AI Agent Productization + Strong interest in LLM applications, Al Agents, or workflow automation, and driving them into real-world products + Ability to transform prototypes into scalable, maintainable, production-ready solutions + Understanding of unique challenges in AI systems such as evaluation, safety, and iteration feedback loops * Ownership and Cross-functional Collaboration + Strong end-to-end ownership mindset, able to execute effectively under ambiguity + Proven ability to collaborate closely with Product, Applied AI, and GTM teams toward shared business outcomes + Strong problem-solving skills and accountability for user experience and delivery impact ## Description * 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. ## Related Videos - [Agentic employees in world's most downloaded FinTech app](https://www.wearedevelopers.com/videos/100123-agentic-employees-in-world-s-most-downloaded-fintech-app) - [Go with the Flow: Stop the Leaks Before Your Memory's a Waterfall!](https://www.wearedevelopers.com/videos/100073-go-with-the-flow-stop-the-leaks-before-your-memory-s-a-waterfall) - [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock) - [HTTP headers that make your website go faster](https://www.wearedevelopers.com/videos/1676-http-headers-that-make-your-website-go-faster) - [Building a Multi-Agent Orchestration Engine That Actually Follows the Rules](https://www.wearedevelopers.com/videos/100159-building-a-multi-agent-orchestration-engine-that-actually-follows-the-rules) - [Scoring 2000 Products per Request: Performance Pitfalls in Golang](https://www.wearedevelopers.com/videos/2073-scoring-2000-products-per-request-performance-pitfalls-in-golang) ## Related Articles - [Dev Digest 132 - Binging WADFlix?](https://www.wearedevelopers.com/magazine/473-dev-digest-132-binging-wadflix) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path](https://www.wearedevelopers.com/magazine/655-from-prototype-to-production-build-ai-agents-with-this-free-4-course-learning-path) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)