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

Job Description

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

Job Description

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.