Software Engineer, AI & Data Systems

Software Engineer, AI & Data SystemsLocation - San Francisco, CA (On-site) - Five days per week in-office in San Francisco.Compensation - $200,000 – $280,000 Base + Competitive EquityVisa - Open to Visa Transfers (OPT, H1B Transfers)Company Stage - Early Stage – $5.7M FundingIndustry - Artificial Intelligence, Data Infrastructure, Machine Learning, AI Agents, Identity Data, Enterprise SoftwareOur client is building a next-generation data infrastructure platform that uses autonomous AI agents to collect, process, and continuously update large-scale identity and business data across the open web.The platform is building a living identity graph spanning billions of individuals and hundreds of millions of businesses, providing contextual data infrastructure for next-generation AI applications.The company is experiencing rapid growth with strong revenue momentum and is backed by leading venture investors. The team is intentionally small, giving engineers significant ownership over both customer-facing products and core infrastructure.The organization operates at the intersection of AI agents, data infrastructure, distributed systems, and identity intelligence.As a Software Engineer, AI & Data Systems, you'll work across backend engineering, high-volume data pipelines, AI agents, infrastructure, and customer-facing product surfaces.This is an opportunity to join a highly autonomous engineering team where you'll take ambiguous customer problems, make architecture decisions, ship production software, and own systems end-to-end.What You'll DoBuild and ship customer-facing products across backend, data, infrastructure, and frontend surfacesBuild core platform capabilities supporting large-scale identity and data systemsDesign and operate high-volume data pipelines processing massive amounts of informationBuild scalable backend services and APIs supporting customer-facing productsDevelop AI agents, agent harnesses, and developer toolingBuild reliable systems for operating AI agents at very large scaleDesign distributed systems capable of handling high-volume data workloadsBuild and maintain data models and processing workflowsDevelop infrastructure supporting large-scale data collection and processingWork with LLMs and modern AI frameworks to build AI-native systemsImprove the reliability, observability, security, and scalability of production systemsMake architecture decisions and clearly communicate technical tradeoffsIterate system designs as assumptions, requirements, and customer needs changeOwn software systems from initial concept through deployment and production operationsWork directly with founders to shape product and technical directionWork directly with customers to understand ambiguous problems and translate them into product decisionsTurn vague customer requirements into clear technical solutions and shipped softwareCollaborate across product, infrastructure, data, and engineering functionsUse modern AI development tools aggressively while maintaining strong engineering judgmentDebug and operate production systems independentlyContribute to engineering standards, architecture, and technical strategyOperate with high ownership in a small, fast-moving startup environmentIdeal Candidate BackgroundExperience Requirements1–6 years of professional experience in backend engineering, data engineering, product engineering, or AI systemsExperience building and operating production systems end-to-endExperience owning systems from concept through deployment and ongoing operationsExperience working in high-growth, talent-dense early-stage startup environmentsExperience at Seed–Series B startups preferredExperience building high-volume data pipelinesExperience building AI agents, data systems, or identity/matching systems at scaleExperience building customer-facing products and infrastructureExperience working with distributed systems and large-scale dataExperience operating production systems with strong reliability and observabilityStrong ownership mentality with demonstrated independent executionComfortable turning ambiguous problems into clear technical decisionsComfortable working directly with founders and customersStrong product engineering mindsetComfortable operating in a highly autonomous startup environmentTechnical RequirementsStrong backend engineering fundamentalsStrong Python engineering experienceExperience building APIs and backend servicesExperience designing and working with data modelsExperience with distributed systemsExperience building and operating high-volume data pipelinesExperience with cloud infrastructureExperience building production AI systemsExperience working with LLMsExperience with AI agents or agent frameworksExperience building agent harnesses or AI developer tools preferredExperience with large-scale data processingExperience designing reliable production systemsStrong understanding of scalability, reliability, and observabilityExperience with production debugging and system operationsStrong software architecture and systems thinkingStrong computer science and software engineering fundamentalsAbility to reason about system tradeoffs and architecture decisionsEducationBachelor's degree in Computer Science or related technical field preferredCS degree from a strong/top technical university preferredStrong computer science, distributed systems, and software engineering fundamentalsEquivalent practical engineering experience may be consideredSoft SkillsExceptional technical ownershipStrong product judgmentStrong analytical and problem-solving abilityDeep technical curiosityComfortable working with ambiguityStrong communication skillsComfortable working directly with foundersComfortable working directly with customersHigh execution velocityStrong attention to system reliability and engineering qualityBias toward experimentation and continuous improvementStrong ability to reason from first principlesStrong decision-making ability with incomplete informationLow-ego collaborative mentalityStrong builder mentalityComfortable operating independentlyComfortable using modern AI tools to accelerate developmentStrong engineering judgment despite aggressive AI-assisted developmentComfortable working in a small, high-performing startup teamWillingness to work five days per week in San FranciscoCompensation & BenefitsBase Salary: $200,000 – $280,000Competitive Equity PackageOpportunity to build AI-native data infrastructure at massive scaleSignificant ownership over customer-facing products and core platform systemsOpportunity to work directly with foundersExposure to large-scale AI agents and autonomous data collectionOpportunity to build high-volume data pipelines and distributed systemsOpportunity to work on identity and matching systems at massive scaleHigh-growth early-stage startup environmentOpportunity to influence architecture and technical directionHigh level of autonomy and ownershipOpportunity to work across backend, AI, data, infrastructure, and product engineeringWhy JoinThis is an opportunity to join a highly ambitious AI and data infrastructure company building systems that operate at massive scale across the open web.You'll work on the intersection of autonomous AI agents, distributed systems, large-scale data pipelines