AI Engineer

🕒 April 10

🏄 California, New York, +1 more states – Remote

🏄 California – Remote 🗽 New York – Remote 🏈 Ohio – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

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ReadMe

WebsiteLinkedInAll Job Openings

51 - 200 employees

🔌 API

☁️ SaaS

🏢 Enterprise

API • SaaS • Enterprise

ReadMe is a company that specializes in providing comprehensive documentation solutions for developers and enterprises. They offer tools to create and manage API documentation, enabling seamless communication and integration for developers. With features like Git-backed docs, API reference, changelog, and access control, ReadMe makes it easy for companies to keep their technical documentation in sync and accessible. They also provide a platform for developers to test APIs directly from the docs, aiding in quick adoption and integration. ReadMe is focused on enhancing the developer experience through clear and efficient documentation, with additional features for enterprise needs, such as SSO and OAuth, audit logs, and translations.

📋 Description

• Design end-to-end AI systems: combining LLMs, embeddings, retrieval pipelines, and structured outputs into reliable product features. • Build grounding and retrieval layers: indexing docs, OpenAPI specs, and customer data to support accurate, context-aware generation. • Define evaluation systems: measuring accuracy, latency, cost, and user impact; building feedback loops to continuously improve quality. • Handle real-world complexity: malformed specs, inconsistent docs, edge-case APIs, and ambiguous user queries. • Make architectural tradeoffs: latency vs. quality, cost vs. coverage, deterministic vs. generative approaches. • Own production reliability: observability, fallbacks, rate limiting, and safe degradation when systems fail. • Work across the stack: from model orchestration and backend systems to the UI surfaces that expose them.

🎯 Requirements

• Experience building with LLMs in production, not just prototypes. • Strong JavaScript/TypeScript or Python experience. • Experience working with: • Embeddings and retrieval systems (RAG). • Prompting and structured outputs. • Evaluation and iteration of AI systems (quality, latency, cost). • Comfort working with APIs and structured data (JSON, OpenAPI, schemas). • Experience designing and shipping end-to-end systems, from backend pipelines to user-facing product surfaces. • Strong instincts around when to use AI vs. deterministic approaches. • Experience improving AI reliability, observability, and production readiness. • Familiarity with real-world edge cases (messy data, inconsistent inputs, ambiguous queries) and how to handle them.

🏖️ Benefits

• Unlimited PTO with a three-week minimum. 🏝️ • Fully covered medical, dental, and vision insurance for you, and 100% for your dependents. • A One Medical membership. 👨‍⚕️ • A gym or fitness stipend of up to $150 per month. 🏋️‍♀️ • One-to-one donation matching of up to $1,000 per year. 💸 • Twelve weeks of paid parental leave after the birth or adoption of a child. 🐣 • Work from home. 🏠 • Three offsite retreats per year to get together with coworkers and plan for the quarter ahead. ✈️