> Markdown version of [/jobs/ext/4672915-senior-platform-engineer-ai-platform](https://www.wearedevelopers.com/jobs/ext/4672915-senior-platform-engineer-ai-platform). 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). --- # Senior Platform Engineer - AI Platform - **Company:** Porch - **Location:** Seattle, WA, United States (Remote available) - **Experience:** Expert - **Salary:** $168,800 - $236,300 - **Contract:** Permanent contract - **Skills:** Query Performance, PHP (Programming Language), Artificial Intelligence, Amazon Web Services, Computing Platforms, Code Review, Continuous Integration, Data Mining, Relational Databases, Software Design Documents, Distributed Systems, Identity and Access Management, MySQL, Network Planning and Design, Search Technologies, Retrieval-Augmented Generation, Large Language Models, Multi-Agent Systems, Prompt Engineering, Software Security, Database Performance, Indexer, Data Layers, AI Platforms, Kubernetes, Api Design, Amazon Simple Queue Service (SQS), Terraform, Software Version Control, Serverless Computing, Web Api - **Published:** November 11, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=2781b28bbb4e4b13 ## About the Role * 10+ years building and running production software, with real ownership of systems at scale * Demonstrated, hands-on experience shipping LLM-backed features - not just API calls, but agent orchestration, RAG, evaluation, and the operational discipline to keep them working * Strong PHP (8.x) skills in a mature, high-traffic codebase * Deep AWS architecture experience with hands-on ECS operations, infrastructure as code (Terraform or CDK), and CI/CD * Expert-level relational database skills with MySQL and/or Aurora - able to read an execution plan and act on it * Strong fundamentals in distributed systems, API design, observability, and application security * Clear written communication and sound judgment about tradeoffs, especially where AI is the wrong tool for the job Nice to have: Go, MCP or comparable agent-tooling standards, vector search and embedding pipelines, Kubernetes, document and image extraction pipelines, or real estate/proptech/field-services domain experience * ## Description ISN is hiring a Senior Platform Engineer to lead AI-first platform work at the intersection of agentic systems and production infrastructure. You'll design and ship the systems that let agents and LLMs do real work inside a high-volume product - spanning scheduling, report intake, customer communication, billing workflows, and data extraction. You'll also own the foundation underneath it: our PHP application, AWS/ECS infrastructure, and MySQL/Aurora data layer. This role offers unusual latitude to define how AI works at ISN, backed by the scale and stability of Porch Group and the data of a category-leading home inspection software platform. What You Will Do As A Senior Platform Engineer - AI Platform * Build AI features end to end - retrieval, context engineering, structured output, tool/function calling, and evaluation harnesses that measure whether a change actually made things better * Design and operate agent orchestration systems - multi-agent and multi-step workflows including task decomposition, tool routing, state and memory, retries and fallbacks, human-in-the-loop checkpoints, and guardrails against failure modes that don't look like exceptions * Operate non-deterministic systems responsibly - tracing, evals in CI, prompt and model versioning, token and latency budgets, model routing, and cost controls * Own ECS container platform operations - service definitions, task sizing, autoscaling, blue/green deploys, and orchestration for both long-running services and async workers * Architect AWS infrastructure - event-driven and serverless pipelines (Lambda, SQS/SNS/EventBridge), IAM and network design, all managed as infrastructure as code * Build and extend services in our production PHP codebase, integrating AI capability into existing product surfaces without destabilizing them * Drive database performance at scale - schema design, indexing, replication and read scaling, zero-downtime migrations, and query performance work across MySQL and Aurora Raise the bar across the team through code review, design docs, mentorship, incident response, and on-call participation *