Software Engineer

Recruiting From Scratch

  • San Francisco, CA
  • $160,000-190,000 per year
  • Permanent
  • Full-time
  • 23 days ago
Who is Recruiting from Scratch: Recruiting from Scratch is a talent firm that focuses on placing the best candidate for our clients. Our team is 100% remote and we work with teams across North America, South America, and Europe to help them hire.https://www.recruitingfromscratch.com/Title of Role: Backend-Leaning Full Stack Software Engineer
Location: San Francisco, CA (Levi’s Plaza)
Company Stage of Funding: Early-Stage, Well-Funded ($2.5M seed from First Round Capital, BoxGroup, and leading angels)
Office Type: On-site, Full-Time (5 days/week)
Salary: $160,000 – $190,000 + Meaningful Equity Company DescriptionWe’re an early-stage, well-funded startup building a voice/text/email AI agent for property management. The agent integrates directly with property management systems, ingests and normalizes data, and automates the workflows that keep buildings running — from maintenance to tenant communications. Our stack combines TypeScript-first development , serverless deployments (Vercel), workflow orchestration (Inngest), Postgres-based domain schemas, and LLMs (OpenAI primary, but provider-agnostic) — with a pragmatic, solve-the-problem mindset when it comes to tools and languages.We’re a small founding team of repeat builders who’ve scaled companies like Newfront, AtoB, and Pave. This is a hands-on, high-ownership environment where you’ll be shipping production systems quickly, working closely with customers, and directly shaping product and infrastructure in an emerging AI space. What You Will Do
  • Design, build, and operate full-stack, backend-leaning systems in TypeScript that power the Agent — REST/GraphQL APIs, serverless functions, data pipelines, and low-latency integrations that support production usage at scale.
  • Own integrations with third-party property management systems: implement ETL/ingestion flows, normalize heterogeneous upstream data, design reconciliation logic, and ensure robust, observable syncs.
  • Model and maintain Postgres schemas: design migrations, optimize queries, enforce data integrity, and evolve a unified schema consumable by our agent infrastructure.
  • Collaborate closely with product, ML/agent, and operations teams to define APIs and data contracts enabling LLM-driven behavior; instrument systems with OpenTelemetry, iterate rapidly, and ship features to meet customer events and onboarding deadlines.
  • Raise engineering standards: implement automated testing, CI/CD, observability, performance tuning, and rigorous code reviews; mentor teammates and formalize backend/database best practices in a high-intensity startup environment.
  • Operate with urgency and ownership during critical phases (expect ~60 hours/week during product pushes) while maintaining sustainable performance, health, and team balance.
Ideal Background
  • 2–6+ years of professional software engineering experience, preferably in SaaS or platform products.
  • Proven track record building backend-first full-stack systems from integrations and data modeling through production.
  • Deep, hands-on PostgreSQL expertise — schema design, migrations, query optimization, indexes, and operational best practices.
  • Practical experience integrating with third-party APIs and building ETL/data pipelines; property management systems experience is a plus.
  • Proficiency in one or more backend languages (TypeScript, Python, Go, Node, Java), with strong fundamentals in systems and API design.
  • Experience with serverless architectures (Vercel or equivalent) and event/workflow orchestration (Inngest-style patterns).
  • Familiarity with observability tooling (OpenTelemetry) and LLM integrations (OpenAI or similar) is a plus.
  • Strong communication skills and ability to collaborate with cross-functional teams, translating customer needs into technical designs.
  • High agency, entrepreneurial mindset, and comfort in a fast-moving, early-stage environment.
  • Demonstrated commitment to past roles/projects (cautious about frequent job-hopping).
Preferred
  • Experience with AWS, Docker, production deployments, and scalable API/service design.
  • Background at high-growth product companies or startups (e.g., DoorDash, Airbnb, Rippling, Mercury, Ramp, Meta, Amazon) is a plus — but we value execution over pedigree.
  • Interest in AI/agent infrastructure and willingness to learn LLM evaluation and observability tooling.
Compensation and Benefits
  • Salary: $160,000 – $190,000 base
  • Equity: Meaningful ownership in an early-stage company
  • Health: ICHRA contribution (~$650/month toward premiums)
  • Wellness: Partial gym membership sponsorship
  • Visa: Sponsorship available for common work visas
  • Other:
  • Paid multi-day work trial to ensure mutual fit
  • Direct mentorship from repeat founders
  • Clear path to entrepreneurial growth and early-stage leadership opportunities
  • On-site culture in Levi’s Plaza with regular collaboration and tight feedback loops
This role is perfect for backend-leaning full-stack engineers who want to own core systems, tackle complex data and integration problems, and build at the cutting edge of AI-powered agents — all while operating with speed, pragmatism, and high impact. Salary Range: $160,000-$190,000 base. https://www.recruitingfromscratch.com/

Recruiting From Scratch