Remote Software Engineer, AI Agents

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. Software Engineer, AI Agents Location - San Francisco Bay Area (Remote – Preference for Candidates Located in the Bay Area) Compensation $200,000 – $320,000 Base + Competitive Equity Visa Visa Sponsorship Available (Open to Most Visa Types) Company Stage Series C ($92M Raised, $1.2B Valuation) Industry Artificial Intelligence, AI Agents, Data Infrastructure, Marketing Technology, Customer Data Platforms, Enterprise SaaS, Applied AI About the Company The company is building the future of AI-powered customer engagement by enabling businesses to transform their customer data into intelligent, personalized actions. Its platform helps organizations activate customer data across hundreds of business tools while allowing both technical and non-technical users to create highly personalized marketing experiences using modern data infrastructure and AI. By combining composable customer data infrastructure with intelligent decisioning systems, the company is redefining how businesses leverage data to drive customer engagement. Backed by leading investors including Sapphire Ventures, Amplify Partners, and Y Combinator, the company has raised over $92M in funding at a $1.2B valuation and continues to expand its AI platform through cutting-edge agentic products. As a Software Engineer, AI Agents, you'll help build the next generation of AI-powered decisioning systems that combine large language models, product engineering, data infrastructure, and intelligent automation. You'll work directly with company leadership to define AI architecture, prototype new product experiences, and build production-grade AI agents used by enterprise customers. This is a rare opportunity to join a fast-growing AI company where you'll own major product initiatives, influence AI strategy, and build intelligent systems that shape the future of customer engagement and enterprise software. What You'll Do Design and build production-ready AI agents that help businesses automate customer engagement and marketing workflows Prototype and rapidly iterate AI-powered product experiences using modern LLMs and AI frameworks Build scalable backend systems supporting AI-powered decision making and intelligent automation Develop production-grade LLM pipelines capable of solving complex customer problems Build AI agents that analyze customer data, generate insights, and recommend business actions Work directly with the CTO and COO to prototype new AI product lines from concept through production Evaluate emerging AI models, frameworks, and methodologies to determine the best production architectures Design scalable backend services supporting AI workflows and enterprise customer data Build highly reliable production systems capable of serving enterprise-scale workloads Partner closely with Product, Engineering, and Design to create intuitive AI-assisted user experiences Make key technical decisions around AI architecture, backend systems, and product direction Improve engineering quality, scalability, performance, and reliability across AI products Ideal Candidate Background Experience Requirements 5–12 years of software engineering experience Experience building core product features at high-growth VC-backed startups Experience shipping AI-powered production products from concept through launch Experience working in Series C–F startup environments or similarly fast-growing companies Experience building products with significant customer and business impact Demonstrated progression in ownership, technical scope, or engineering leadership Experience working as an early engineering hire or startup founder preferred Strong product mindset with demonstrated ability to build 0→1 products Technical Requirements Strong backend software engineering experience Experience building complex AI applications beyond simple RAG implementations Experience architecting production AI systems and LLM-powered applications Strong proficiency with TypeScript and modern backend development Experience designing scalable distributed backend systems Experience rapidly prototyping AI-powered products Strong understanding of LLM architectures, prompting strategies, tool calling, and AI workflows Experience evaluating AI models and selecting appropriate production architectures Strong understanding of APIs, data infrastructure, and scalable backend services Ability to design production systems balancing reliability, scalability, latency, and cost Strong engineering fundamentals across system design, architecture, and software quality Education Bachelor's or higher degree in Computer Science, Mathematics, or a related technical field preferred Degree from a top engineering univer