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

AI Engineer (Backend TypeScript or Python) Location: Austin, TX / Sunnyvale, CA Work Arrangement: Hybrid (3 days On-site, 2 days Remote) Work Authorization: Local candidates only Duration: 12 Months We are seeking a Senior-level Individual Contributor (IC) to design and build AI-powered features for production web applications. The ideal candidate will have strong backend engineering experience and hands‑on experience with LLM orchestration. Key Requirements Backend Engineering: Strong experience in TypeScript/Node.js (preferred) or Python, with production API design experience. LLM Experience: Proven track record of building LLM harnesses/scaffolds, including agentic loops, RAG pipelines, and tool‑calling architectures. System Design: Experience designing multi‑agent systems and integrating LLMs with internal and external APIs. Implementation Skills: Ability to design and implement context‑aware chat interfaces and enterprise integrations. Development Workflow: Strong proficiency in AI‑assisted development, specifically utilizing Claude for prompting, task structuring, code validation, and review. Preferred Technical Skills Language: TypeScript (Primary preference due to existing codebase consistency). Python candidates must be willing to adopt and learn TypeScript. System Patterns: RAG (Retrieval-Augmented Generation), Enterprise AI integration patterns. Niche Knowledge: Familiarity with Apple ecosystem/platform concepts (MCPs, FCP servers) is required; no training will be provided for these concepts. Bonus Points: Experience with AI platform/developer tooling, evaluation & observability frameworks, and AI security & guardrails. Tech Stack & Engineering Philosophy Primary Stack: TypeScript (Frontend & Backend). AI Tools: Heavy reliance on Claude for implementation, emphasizing architecture planning, testing, and validation. Culture: "Coding is cheap." The focus is on high-quality architecture, robust testing strategies, and integration validation rather than writing boilerplate code. #J-18808-Ljbffr ChatGPT Jobs