Recruiting from Scratch
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 Description We'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 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 Description We'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/