Software Engineer, AI Agents

Software Engineer, AI AgentsLocation - San Francisco Bay Area (Remote – Preference for Candidates Located in the Bay Area)Compensation: $200,000 – $320,000 Base + Competitive EquityVisa: 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 AIThe 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 DoDesign and build production-ready AI agents that help businesses automate customer engagement and marketing workflowsPrototype and rapidly iterate AI-powered product experiences using modern LLMs and AI frameworksBuild scalable backend systems supporting AI-powered decision making and intelligent automationDevelop production-grade LLM pipelines capable of solving complex customer problemsBuild AI agents that analyze customer data, generate insights, and recommend business actionsWork directly with the CTO and COO to prototype new AI product lines from concept through productionEvaluate emerging AI models, frameworks, and methodologies to determine the best production architecturesDesign scalable backend services supporting AI workflows and enterprise customer dataBuild highly reliable production systems capable of serving enterprise-scale workloadsPartner closely with Product, Engineering, and Design to create intuitive AI-assisted user experiencesMake key technical decisions around AI architecture, backend systems, and product directionImprove engineering quality, scalability, performance, and reliability across AI productsIdeal Candidate BackgroundExperience Requirements5–12 years of software engineering experienceExperience building core product features at high-growth VC-backed startupsExperience shipping AI-powered production products from concept through launchExperience working in Series C–F startup environments or similarly fast-growing companiesExperience building products with significant customer and business impactDemonstrated progression in ownership, technical scope, or engineering leadershipExperience working as an early engineering hire or startup founder preferredStrong product mindset with demonstrated ability to build 0?1 productsTechnical RequirementsStrong backend software engineering experienceExperience building complex AI applications beyond simple RAG implementationsExperience architecting production AI systems and LLM-powered applicationsStrong proficiency with TypeScript and modern backend developmentExperience designing scalable distributed backend systemsExperience rapidly prototyping AI-powered productsStrong understanding of LLM architectures, prompting strategies, tool calling, and AI workflowsExperience evaluating AI models and selecting appropriate production architecturesStrong understanding of APIs, data infrastructure, and scalable backend servicesAbility to design production systems balancing reliability, scalability, latency, and costStrong engineering fundamentals across system design, architecture, and software qualityEducationBachelor's or higher degree in Computer Science, Mathematics, or a related technical field preferredDegree from a top engineering university strongly preferredCoursework or practical experience in Artificial Intelligence or Machine Learning is a plusSoft SkillsStrong communication skillsExcellent product intuitionHigh ownership mentalityStrong customer empathyComfortable operating with ambiguityHighly intellectually curiousStructured problem solverSelf-directed and proactiveStrong collaboration across Product, Engineering, and LeadershipComfortable rapidly learning new technologiesPassion for AI and building customer-facing productsCompensation & BenefitsBase Salary: $200,000 – $320,000Competitive Equity PackageRemote-First EnvironmentPreference for Bay Area candidates for occasional in-person collaborationVisa Sponsorship AvailableOpportunity to define the future of AI-powered customer engagementDirect collaboration with the CTO and executive leadershipHigh-impact ownership across AI strategy and product developmentWork on frontier LLM applications and AI agent systemsOpportunity to influence major product linesHigh-performance engineering cultureRapid career growth opportunitiesWhy JoinThis is an opportunity to build one of the most ambitious AI agent platforms in enterprise software.You'll work at the intersection of AI, product engineering, data infrastructure, and customer intelligence while building production AI systems that help businesses make better decisions through intelligent automation.As a Software Engineer, AI Agents, you'll own critical AI initiatives from research through production, collaborate directly with executive leadership, and shape the future of AI-powered enterprise applications.