Staff Software Engineer

Recruiting From Scratch

  • San Francisco, California
  • 3 days ago
  • Remote
  • $200,000–$280,000 Per Year

Highlights

Own and deliver major features from prototype through production deploymentDrive architecture decisions across backend systems and platform reliabilityBuild customer-facing LLM-powered systems at production scaleDesign and improve infrastructure for testing and reliability of non-deterministic AI systemsWork directly with customers to understand needs and shape product directionBuild scalable backend systems using Node.js and TypeScriptContribute to frontend architecture where needed using React and GraphQLImprove observability, system reliability, and operational toolingDiagnose production issues and implement scalable long-term solutionsCollaborate closely with leadership on product and technical strategy. 6+ years of full-stack engineering experience with backend depthExperience shipping customer-facing production systems end-to-endStrong startup experience in fast-paced, high-ownership environmentsStrong expertise in backend system design and distributed systemsExperience working directly with product and customersComfortable operating independently with minimal oversight.

Numbers & Facts

LocationSan Francisco, California (
Remote
)
Salary$200,000–$280,000 Per Year

Description

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.

Title of Role: Staff Software Engineer

Location: San Francisco, CA (SoMa Hybrid) or Remote (US)Company Stage of Funding: Series A/B (~$50M raised)Office Type: Hybrid (4 days/week in-office, flexible for Bay Area candidates, remote possible for exceptional candidates)Salary: $200,000 – $280,000 + Competitive EquityVisa: H1B transfers supported (no net new H1Bs)

Company Description

Our client is an AI infrastructure startup building intelligent assistants designed for busy professionals—helping automate workflows across email, meetings, calendar management, and task coordination.

The company recently launched a new product that has already surpassed $2M ARR within weeks, demonstrating exceptional early traction and strong product-market fit.

Backed by top-tier investors with approximately $50M in funding, the company has refined its product direction and now operates as a lean, highly focused engineering organization shipping rapidly.

With a small, highly autonomous team of around 20 people, this is an opportunity to join at a critical growth stage and help define the technical architecture powering the next generation of AI-native productivity software.

What You Will Do

Own and deliver major features from prototype through production deploymentDrive architecture decisions across backend systems and platform reliabilityBuild customer-facing LLM-powered systems at production scaleDesign and improve infrastructure for testing and reliability of non-deterministic AI systemsWork directly with customers to understand needs and shape product directionBuild scalable backend systems using Node.js and TypeScriptContribute to frontend architecture where needed using React and GraphQLImprove observability, system reliability, and operational toolingDiagnose production issues and implement scalable long-term solutionsCollaborate closely with leadership on product and technical strategy

Ideal Candidate Background

6+ years of full-stack engineering experience with backend depthExperience shipping customer-facing production systems end-to-endStrong startup experience in fast-paced, high-ownership environmentsStrong expertise in backend system design and distributed systemsExperience working directly with product and customersComfortable operating independently with minimal oversight

Preferred

Experience building LLM-powered production systemsExperience with agent frameworks and multiple LLM providersStrong Node.js and TypeScript expertiseExperience with React and GraphQLExperience with MongoDB or document-oriented databasesExperience building testing/quality systems for AI productsTop technical education background preferred

Compensation and Benefits

Base salary: $200,000 – $280,000Equity: CompetitiveVisa: H1B transfers supported (no new H1B sponsorship)Hybrid SF office (4 days/week)Remote flexibility for exceptional candidatesRelocation assistance up to $20,000Direct collaboration with executive leadershipHigh ownership and rapid career growth

Why Join

This is a rare opportunity to join a high-growth AI company at a pivotal product inflection point.

The product has already achieved strong early traction, and the engineering team is small enough that your technical decisions will directly shape the future of the platform.

If you're excited about building production-grade AI systems, owning major architectural decisions, and working in an environment optimized for speed and autonomy, this role offers exceptional impact.

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