Title: AI Engineer (Backend TypeScript or Python)
Location: Austin, TX/ Sunnyvale, CA (Hybrid 3 days On-Site and 2 days Remote) Need Local candidates only
Duration: 12 Months
Job Description
AI 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 & guardrails
Senior AI Engineers
Looking for senior-level ICs with:
- Experience building AI-powered features into production web applications.
- Ability to design and implement:
- Context-aware chat interfaces
- RAG-based systems
- Enterprise integrations
- Comfortable operating in:
- TypeScript-heavy environments (preferred)
- Python environments with willingness to adopt TypeScript
Additional expectations:
- Strong use of Claude and AI-assisted development workflows.
- Skilled at:
- Prompting
- Structuring tasks
- Reviewing and validating generated code
Tech Stack & AI Approach
Language & 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:
- Greater emphasis is placed on:
- Architecture and planning
- Strong testing strategies
- Validation and integration quality
- Workflow approach:
- Claude generates much of the implementation code.
- Engineers focus on task structuring, prompting, testing, and validation.
Desired Technical Familiarity
Candidates should ideally have exposure to:
- RAG (Retrieval-Augmented Generation)
- Enterprise AI integration patterns
- Apple ecosystem/platform concepts, including:
Manager specifically noted they do not want to teach these concepts from scratch.
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