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:
Full-Stack Engineer Location:
San Francisco (Hybrid) Company Stage of Funding:
Series A (rapid growth, preparing for Series B) Office Type:
Hybrid - 2-3 days onsite, rest remote Salary:
$160,000 - $250,000 Company Description
Our client is a fast-growing, venture-backed AI startup that recently raised a Series A from top investors and is on track for rapid expansion. The company builds AI-powered communication systems that integrate with logistics and supply chain platforms, enabling businesses to automate high-volume conversations across phone, email, and messaging. With strong early traction and ambitious growth goals, this is a unique opportunity to join a high-intensity engineering team at a pivotal stage in its journey. What You Will Do Design, build, and maintain highly scalable and reliable backend infrastructure to power AI-driven communication at scale. Develop systems that handle thousands of concurrent AI interactions with low latency. Architect multi-region, fault-tolerant infrastructure and implement robust observability. Automate deployments, operational workflows, and testing processes. Collaborate with cross-functional teams to continuously improve performance, reliability, and developer experience. Take full ownership of projects from design through to production. Ideal Candidate Background 3-10 years of software engineering experience, with a strong emphasis on backend development (60-70% backend, 30-40% frontend). Proven experience scaling backend systems from the ground up, ideally in high-traffic environments (e.g., mobility platforms, social media, or other large-scale consumer or enterprise systems). Strong coding skills with Go. Solid understanding of backend architecture, APIs, and databases. Hands-on experience with Kubernetes and modern cloud infrastructure. Proficiency in React and TypeScript. Strong computer science fundamentals with a degree in CS or a related technical field. Preferred Experience at fast-moving, high-growth startups or top-tier tech companies. A "founder mindset": high ownership, independence, and drive to build and ship quickly. Passion for AI and enthusiasm for working on cutting-edge AI-driven systems. Flexibility and willingness to wear multiple hats in a startup environment. Compensation & Benefits Competitive salary in the range of $160,000 - $250,000 depending on experience. Meaningful equity package. Hybrid work environment with 2-3 days per week in the San Francisco office. Opportunity to join a fast-growing AI startup at an inflection point, working alongside a high-caliber team with strong investor backing. Clear career growth trajectory as one of the early engineering hires helping scale the company to the next stage.
This is an exciting chance to be a core part of a Series A company's growth story - building mission-critical systems, scaling AI deployments to millions of users, and working at the forefront of applied AI.
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:
Full-Stack Engineer Location:
San Francisco (Hybrid) Company Stage of Funding:
Series A (rapid growth, preparing for Series B) Office Type:
Hybrid - 2-3 days onsite, rest remote Salary:
$160,000 - $250,000 Company Description
Our client is a fast-growing, venture-backed AI startup that recently raised a Series A from top investors and is on track for rapid expansion. The company builds AI-powered communication systems that integrate with logistics and supply chain platforms, enabling businesses to automate high-volume conversations across phone, email, and messaging. With strong early traction and ambitious growth goals, this is a unique opportunity to join a high-intensity engineering team at a pivotal stage in its journey. What You Will Do Design, build, and maintain highly scalable and reliable backend infrastructure to power AI-driven communication at scale. Develop systems that handle thousands of concurrent AI interactions with low latency. Architect multi-region, fault-tolerant infrastructure and implement robust observability. Automate deployments, operational workflows, and testing processes. Collaborate with cross-functional teams to continuously improve performance, reliability, and developer experience. Take full ownership of projects from design through to production. Ideal Candidate Background 3-10 years of software engineering experience, with a strong emphasis on backend development (60-70% backend, 30-40% frontend). Proven experience scaling backend systems from the ground up, ideally in high-traffic environments (e.g., mobility platforms, social media, or other large-scale consumer or enterprise systems). Strong coding skills with Go. Solid understanding of backend architecture, APIs, and databases. Hands-on experience with Kubernetes and modern cloud infrastructure. Proficiency in React and TypeScript. Strong computer science fundamentals with a degree in CS or a related technical field. Preferred Experience at fast-moving, high-growth startups or top-tier tech companies. A "founder mindset": high ownership, independence, and drive to build and ship quickly. Passion for AI and enthusiasm for working on cutting-edge AI-driven systems. Flexibility and willingness to wear multiple hats in a startup environment. Compensation & Benefits Competitive salary in the range of $160,000 - $250,000 depending on experience. Meaningful equity package. Hybrid work environment with 2-3 days per week in the San Francisco office. Opportunity to join a fast-growing AI startup at an inflection point, working alongside a high-caliber team with strong investor backing. Clear career growth trajectory as one of the early engineering hires helping scale the company to the next stage.
This is an exciting chance to be a core part of a Series A company's growth story - building mission-critical systems, scaling AI deployments to millions of users, and working at the forefront of applied AI.