AI Platform Engineer

Software Engineer, AI Platform Location: New York City, five days onsite Compensation: $200,000 to $240,000 base, flexible for exceptional candidates Equity: 0.10% to 0.25% Employment: Full-time Visa Support: H-1B transfers and TN applications supported About the Company We are partnering with a well-funded enterprise AI company building a coding agent that enables non-engineers to create production-grade applications using private company data. The platform combines AI-powered application development with the security, governance, integrations, access controls, and observability required by global enterprises. Unlike consumer-focused AI builders, the company is focused on applications that support mission-critical business operations. The company has raised $60 million from leading venture capital firms and prominent technology founders. Its small engineering team includes accomplished builders from some of the world’s most respected infrastructure and distributed-systems organizations. Why Join Help build a frontier coding agent for enterprise application developmentWork directly with the CTO, a former founding engineer and architect at a leading distributed-systems companyJoin a small, highly technical engineering team with deep experience across Kafka, Kubernetes, distributed databases, enterprise security, and developer infrastructureOwn critical systems immediately rather than operating within a narrow functionSolve challenging problems across agentic AI, secure code execution, distributed systems, and enterprise governanceReceive meaningful early-stage equity with significant potential upsideInfluence the architecture and technical direction of a rapidly growing AI platformMove through a fast interview process, with offers typically made within one to two weeks What You Will Build AI coding agents that generate, execute, test, debug, and improve production softwareContinuous-learning systems using short-term memory, persistent memory, and organizational knowledge graphsAgent orchestration and feedback loops that improve accuracy, reliability, and task completionSecure execution environments for running AI-generated codeHuman and AI interaction patterns that help enterprise users build applications safelyCentralized governance systems for applications, workflows, agents, secrets, permissions, and policiesBackend and distributed systems capable of supporting large enterprise customers What We Are Looking For Strong backend, platform, or distributed-systems engineering experienceExperience building and shipping an agentic AI system or substantial LLM application in productionStrong Python programming skillsExperience designing backend systems, databases, APIs, and production architecturesUnderstanding of LLM orchestration, tool use, evaluation, reliability, latency, and cost tradeoffsExperience with sandboxing, code isolation, containers, application security, or multi-tenant systemsEvidence of exceptional technical ability through academic background, company experience, open-source work, or independently built productsHigh agency and the ability to drive ambiguous projects from concept through productionWillingness to work in the New York City office five days per weekInterest in a demanding, fast-moving, and highly collaborative startup environment Particularly Valuable Experience Coding agents or autonomous software-development toolsSandboxed or ephemeral code-execution environmentsKubernetes, container runtimes, or infrastructure isolationKnowledge graphs, agent memory, or retrieval systemsModel evaluation and production AI observabilityHigh-growth startups or respected infrastructure companiesMaster’s or PhD in computer science, artificial intelligence, machine learning, or distributed systems The Environment This is a high-ownership role for someone who wants to build at an unusually ambitious pace. Engineers are expected to own the complete product experience, learn emerging AI methods quickly, and contribute across traditional functional boundaries. The company maintains a high hiring bar and is looking for exceptional builders rather than filling seats.