> Markdown version of [/jobs/ext/1914237-software-engineer-ai-platform-organization](https://www.wearedevelopers.com/jobs/ext/1914237-software-engineer-ai-platform-organization). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Engineer, AI Platform Organization - **Company:** Harvey AI Corporation - **Location:** San Francisco, CA, United States - **Salary:** $220,000.0 - $300,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Programming Tools, Distributed Systems, Machine Learning, Routing, Software Engineering, Systems Integration, Backend, Build Management, AI Platforms - **Published:** August 4, 2026 - **Apply:** https://www.careerbuilder.com/job-details/software-engineer-ai-platform-san-francisco-ca--694cb4c3-ac72-4d4e-b99c-5ec2ac9af7d7 ## About the Role * 5+ years of experience building backend systems, with at least 1+ year focused on AI/ML engineering. Staff candidates will typically have 8+ years and a track record of technical leadership across teams. * Experience building and shipping multi-model or multi-provider AI systems in production. * Familiarity with context management, session state, or memory systems in AI or distributed systems. You've thought about what the model sees and why it matters. * A track record of building internal platforms, SDKs, or shared infrastructure that other engineering teams actually adopted - and an understanding of why developer experience matters as much as raw capability. * Strong judgment about abstractions. Opinionated about good design but pragmatic about shipping incrementally. * Excitement about agentic AI and the infrastructure challenges of making autonomous systems reliable when the stakes are real. * A bias toward full ownership: you navigate ambiguity well and don't wait for a roadmap to start solving problems. * Bonus: experience building evaluation frameworks, working with agent/function-calling architectures, familiarity with legal or other high-stakes professional services domains, or time at early-stage or hyper-growth startups where the underlying technology changes regularly., Artificial Intelligence (AI), Category Development, Distributed Computing, Financial Services, Leadership, Legal, Machine Tool, Memory Hardware, Problem Solving Skills, Product Engineering, Production Systems, Professional Services, Programming Tools, Prototyping, Quality Management, Software Engineering, Startup, Technical Leadership ## Description The AI Platform team builds the foundation that every product and agent team at Harvey builds upon. This team is early and there's a lot to build: model routing, agent architecture, context management, evals. Your work here sets the ceiling for what Harvey's AI can do. Representative Projects * Context Engineering & Agent Infrastructure. Build the platform-level systems for context management, session state, and memory that all of Harvey's agents and products rely on. * Model Integration & Routing. Own the infrastructure that lets Harvey onboard new foundation models fast and route to the right one for every task - a capability every product team depends on. * Evaluation Infrastructure. Build the shared eval tooling and frameworks that let every team across Harvey measure and improve AI quality systematically. * Shared Abstractions. Create the SDKs, platform primitives, and developer tooling that make it dramatically easier for product teams to ship AI-powered features. What You'll Do * Design and build abstractions and platform-level systems that improve all of Harvey's agentic products. * Own infrastructure for model integration, routing, and evaluation that helps Harvey choose and deploy the right foundation model for any given context. * Build evaluation frameworks and tooling that let every team across Harvey iterate on AI quality effectively. * Partner closely with product engineering teams, PMs, and design to launch cutting-edge AI products. * Evaluate, prototype, and integrate the latest advancements in AI and agentic systems as they emerge. ## Related Videos - [Creating a routing app with Google Maps API from scratch](https://www.wearedevelopers.com/videos/831-creating-a-routing-app-with-google-maps-api-from-scratch) - [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock) - [This App Reached 10,000 Users in One Week. Here's How.](https://www.wearedevelopers.com/videos/100329-this-app-reached-10-000-users-in-one-week-here-s-how) - [The New Org Chart: When AI Joins the Workforce](https://www.wearedevelopers.com/videos/100036-the-new-org-chart-when-ai-joins-the-workforce) - [Nest.js - TypeScript in the backend can also be clean](https://www.wearedevelopers.com/videos/1033-nest-js-typescript-in-the-backend-can-also-be-clean) - [A Technical Introduction to Bitcoin's 2nd Layer- The Lightning Network](https://www.wearedevelopers.com/videos/15-a-technical-introduction-to-bitcoin-s-2nd-layer-the-lightning-network) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [What is Software Engineering in the Age of AI?](https://www.wearedevelopers.com/magazine/640-what-is-software-engineering-in-the-age-of-ai) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere)