Recruiting from Scratch
Software Engineer, Full Stack
Recruiting from Scratch, San Francisco, California, United States, 94199
Who is Recruiting from Scratch:
Recruiting from Scratch is a premier talent firm that focuses on placing the best product managers, software, and hardware talent at innovative companies. Our team is 100% remote and we work with teams across the United States to help them hire.
About the client:
Title of Role : Full Stack Software Engineer (Backend-Leaning)
Location : San Francisco, CA Company Stage of Funding : Series A Office Type : Onsite (4-5 days/week; Wednesday optional) Salary : $150,000 - $200,000 Company Description
Our client is a fast-growing AI startup on a mission to redefine how professionals manage their daily workflows. With nearly $50M in funding and a product-focused founding team, this company builds powerful AI agents designed to act as digital teammates - automating the most time-consuming, repetitive aspects of knowledge work.
They've created a platform of intelligent, autonomous agents that integrate with tools like Slack, Zoom, and email, learning from experience to help individuals and teams move faster and smarter. Now, they're growing their engineering team to bring this vision to life at scale. What You Will Do Build and scale complex distributed backend systems that power intelligent AI agents across real-time communication platforms. Own full-stack features end-to-end, with a strong emphasis on backend design, performance, and scalability. Collaborate cross-functionally with product, design, and AI teams to bring new features to life. Design and operate systems that require strong data integrity, resilience, and high performance - including real-time queues, retries, and caching strategies. Integrate with a wide range of third-party APIs and tools, enabling Lindy agents to function across varied business use cases. Participate in on-site collaboration and team sessions (4+ days/week in San Francisco HQ). Ideal Candidate Background 3-8 years of experience in full-stack or backend engineering, ideally in early-stage or high-growth environments. Strong backend expertise, spending at least 70%+ of engineering time on backend systems. Solid experience designing, implementing, and operating distributed systems (queuing, caching, retries, scaling, fault tolerance, etc.). Comfortable owning projects independently from design to production and scaling. Hands-on experience with NodeJS and TypeScript in production environments. Familiarity with frontend tools such as React and GraphQL. Demonstrated ability to thrive in unstructured, high-autonomy environments. Preferred Experience with realtime systems (e.g., WebSockets, SocketCluster). Familiarity with message queues and pub/sub systems like Kafka, AWS SQS, Celery, or GCP Pub/Sub. Exposure to Temporal or equivalent workflow engines. Experience integrating with or building systems around LLM APIs, token streaming, or AI action orchestration. Prior experience at fast-scaling companies like Notion, Airtable, Brex, Robinhood, or similar is a strong plus. Compensation, Benefits & Additional Info Salary Range : $150,000 - $200,000 Equity : 0.1% - 0.2% Visa Sponsorship : Available (H-1B transfers, new O-1 applications) Work Model : Onsite in San Francisco (Wednesdays optional) Team Size : ~35 people Interview Process : Fast-moving - candidates typically progress through stages within a few days
If you're a self-driven engineer with a passion for building robust infrastructure, AI-powered systems, and scalable tools - this is a rare opportunity to join a visionary team that's redefining work through automation.
Recruiting from Scratch is a premier talent firm that focuses on placing the best product managers, software, and hardware talent at innovative companies. Our team is 100% remote and we work with teams across the United States to help them hire.
About the client:
Title of Role : Full Stack Software Engineer (Backend-Leaning)
Location : San Francisco, CA Company Stage of Funding : Series A Office Type : Onsite (4-5 days/week; Wednesday optional) Salary : $150,000 - $200,000 Company Description
Our client is a fast-growing AI startup on a mission to redefine how professionals manage their daily workflows. With nearly $50M in funding and a product-focused founding team, this company builds powerful AI agents designed to act as digital teammates - automating the most time-consuming, repetitive aspects of knowledge work.
They've created a platform of intelligent, autonomous agents that integrate with tools like Slack, Zoom, and email, learning from experience to help individuals and teams move faster and smarter. Now, they're growing their engineering team to bring this vision to life at scale. What You Will Do Build and scale complex distributed backend systems that power intelligent AI agents across real-time communication platforms. Own full-stack features end-to-end, with a strong emphasis on backend design, performance, and scalability. Collaborate cross-functionally with product, design, and AI teams to bring new features to life. Design and operate systems that require strong data integrity, resilience, and high performance - including real-time queues, retries, and caching strategies. Integrate with a wide range of third-party APIs and tools, enabling Lindy agents to function across varied business use cases. Participate in on-site collaboration and team sessions (4+ days/week in San Francisco HQ). Ideal Candidate Background 3-8 years of experience in full-stack or backend engineering, ideally in early-stage or high-growth environments. Strong backend expertise, spending at least 70%+ of engineering time on backend systems. Solid experience designing, implementing, and operating distributed systems (queuing, caching, retries, scaling, fault tolerance, etc.). Comfortable owning projects independently from design to production and scaling. Hands-on experience with NodeJS and TypeScript in production environments. Familiarity with frontend tools such as React and GraphQL. Demonstrated ability to thrive in unstructured, high-autonomy environments. Preferred Experience with realtime systems (e.g., WebSockets, SocketCluster). Familiarity with message queues and pub/sub systems like Kafka, AWS SQS, Celery, or GCP Pub/Sub. Exposure to Temporal or equivalent workflow engines. Experience integrating with or building systems around LLM APIs, token streaming, or AI action orchestration. Prior experience at fast-scaling companies like Notion, Airtable, Brex, Robinhood, or similar is a strong plus. Compensation, Benefits & Additional Info Salary Range : $150,000 - $200,000 Equity : 0.1% - 0.2% Visa Sponsorship : Available (H-1B transfers, new O-1 applications) Work Model : Onsite in San Francisco (Wednesdays optional) Team Size : ~35 people Interview Process : Fast-moving - candidates typically progress through stages within a few days
If you're a self-driven engineer with a passion for building robust infrastructure, AI-powered systems, and scalable tools - this is a rare opportunity to join a visionary team that's redefining work through automation.