Founding AI Platform Engineer

Job not on LinkedIn

🔥 1 minute ago

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🏗️ Platform Engineer

👻 Ghost score 16%

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Zipdev

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2017

💼 Consulting

📦 Logistics

📣 Marketing

Consulting • Logistics • Marketing

Zipdev is a company that specializes in providing remote talent solutions, particularly focused on hiring top Latin American professionals. Zipdev enables companies to build high-performing teams in their own time zones while reducing costs compared to local hiring. The company offers a streamlined hiring process that includes defining hiring needs, selecting top candidates, and onboarding new team members, handling payroll and HR overhead. Zipdev fills a variety of technical and professional roles, such as software engineers, project managers, and designers. The company is recognized for its ability to provide cultural alignment and scalable, flexible hiring solutions.

📋 Description

• Build and own the core AI orchestration platform, from document ingestion and processing to grounded, source-cited answers • Design and maintain a multi-provider LLM gateway with prompt caching, record-replay capabilities, and evaluation-gated model routing • Develop evaluation frameworks and guardrails to measure LLM output quality, prevent hallucinations, and ensure reliable production performance • Build fact-extraction pipelines and semantic matching systems for complex commercial real estate documents, including loan documents and rent rolls • Map extracted information to a commercial real estate semantic field dictionary • Lead the architecture of a multi-tenant knowledge graph and retrieval layer • Implement enterprise governance capabilities, including PII detection, policy checks, human escalation workflows, and cryptographic audit trails • Identify reusable functionality across client-specific implementations and incorporate it into the shared platform • Design and build reusable integrations with enterprise real estate platforms such as DealCloud and Yardi • Collaborate directly with the CEO and forward-deployed engineers to influence product architecture and technical direction

🎯 Requirements

• 5–10 years of professional experience as a software, backend, machine learning, or applied AI engineer • Proven experience building and shipping AI-centric systems used by real users in production • Relevant production AI experience including agentic workflows, LLM pipelines, document extraction, or retrieval systems over unstructured data • Demonstrated experience designing and building a platform or major system end to end, making key architectural and technical decisions • Experience with founding or early engineering roles, independently owning a service, leading a 0-to-1 build, or leading a small engineering team • Hands-on experience owning production LLM quality, including evaluation frameworks, guardrails, and measuring and preventing hallucinations or unreliable outputs • Strong experience building APIs, backend services, and data pipelines • Experience designing and deploying production systems in cloud environments • Ability to work with complex, unstructured data and design reliable systems for extraction, retrieval, and information management • Comfortable handling sensitive enterprise data and balancing accuracy, security, cost, and latency • Experience with Node.js and TypeScript • Experience with PostgreSQL • Experience with AWS • Experience with LLMs, agentic workflows, RAG, document extraction, evaluation frameworks, and semantic search • Experience with knowledge graphs, data pipelines, and multi-tenant systems • Experience with enterprise APIs and third-party software connectors • Nice to have: experience at an early-stage startup, ideally seed to Series B, as an early or founding engineer • Nice to have: experience with LLM gateways, document AI, knowledge graphs, or advanced retrieval systems • Nice to have: fine-tuning or computer vision experience • Nice to have: familiarity with financial or commercial real estate documents • Nice to have: experience integrating with DealCloud or Yardi • Nice to have: experience in forward-deployed engineering environments • Based in or near Chicago (nice to have)

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