AI Engineer (Backend TypeScript or Python) -Austin, TX/ Sunnyvale, CA

Title: AI Engineer (Backend TypeScript or Python)Location: Austin, TX/ Sunnyvale, CA (Hybrid 3 days On-Site and 2 days Remote) Need Local candidates onlyDuration: 12 MonthsJob DescriptionAI Engineer (Backend TypeScript or Python) Strong backend engineering in TypeScript/Node.js (preferred) or Python, with production API design experience Has built LLM harnesses/scaffolds with agentic loops, RAG pipelines, and tool-calling architectures Experience designing multi-agent systems and integrating LLMs with internal/external APIs Bonus: AI platform/developer tooling, evaluation & observability frameworks, AI security & guardrailsSenior AI EngineersLooking For Senior-level ICs With Experience building AI-powered features into production web applications.Ability to design and implement:Context-aware chat interfacesRAG-based systemsEnterprise integrationsComfortable operating in:TypeScript-heavy environments (preferred)Python environments with willingness to adopt TypeScriptAdditional Expectations Strong use of Claude and AI-assisted development workflows.Skilled at:PromptingStructuring tasksReviewing and validating generated codeTech Stack & AI ApproachLanguage & Stack Preferences Primary preference is TypeScript across both frontend and backend engineering.Reasoning:Aligns with existing Places frontend/backend teams.Enables shared codebases and engineering consistency.Python perspective:Hiring manager personally sees Python as more flexible.However, TypeScript remains the preferred language for this environment.Strong Python engineers are still viable if they:Are willing to learn TypeScript.Understand that much of the existing codebase is TypeScript-based.AI Tools & Engineering Practices Team heavily uses Claude for software development.Core philosophy:“Coding is cheap.”Greater emphasis is placed on:Architecture and planningStrong testing strategiesValidation and integration qualityWorkflow approach:Claude generates much of the implementation code.Engineers focus on task structuring, prompting, testing, and validation.Desired Technical FamiliarityCandidates Should Ideally Have Exposure To RAG (Retrieval-Augmented Generation)Enterprise AI integration patternsApple ecosystem/platform concepts, including:MCPsFCP serversManager specifically noted they do not want to teach these concepts from scratch.