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AI Data Tools Engineer

Apple Austin, TX, US

Live

Full-time Posted 25 days ago 3 min read

We're seeking a multifaceted AI Data and Tools Engineer to rapidly develop and deploy intelligent tools that leverage big data infrastructure and modern AI architectures. This role combines strong software engineering fundamentals with the ability to build production-ready AI applications at speed, including integration with Model Context Protocol (MCP) systems.

**Description**

The AI Data & Tools Engineer will play a critical role in building the next generation of intelligent data tools and AI-powered applications. You'll work at the intersection of large-scale data infrastructure, modern AI/ML systems, and user-facing applications to create tools that accelerate productivity and enable data-driven decision making across the organization.

In this role, you'll architect and implement end-to-end solutions that process massive datasets, integrate with modern AI models and frameworks, and deliver intuitive interfaces for both technical and non-technical users. You'll have the opportunity to work with the latest AI technologies including LLMs, vector databases, and AI agent architectures, while employing enterprise-scale data platforms.

This position requires a unique blend of skills: the engineering rigor to build scalable, production-grade systems; the AI/ML expertise to efficiently harness modern models and frameworks; and the product sensibility to create tools that people actually want to use. You'll be empowered to move quickly, make pragmatic technical decisions, and ship impactful solutions iteratively.

","responsibilities":"Design, develop, and deploy production-ready AI-powered tools and applications that tackle real business problems

Build and integrate Model Context Protocol (MCP) servers to enable AI assistants and agent-based workflows

Implement AI agent architectures with tool-calling capabilities for autonomous task execution

Create intelligent data processing pipelines that leverage LLMs, embeddings, and retrieval systems

Architect and implement scalable data pipelines using big data technologies (Spark, Kafka, streaming platforms)

Build integrations with cloud data warehouses (Snowflake, BigQuery, Redshift) and data lakes

Build responsive web applications and user interfaces using modern frameworks (React, Vue, Angular)

Design and implement RESTful APIs and data exchange protocols for AI systems

You will build and maintain ML pipelines from data ingestion to model deployment

Deploy and supervise ML models in production environments

Work closely with data scientists, product managers, and collaborators to understand requirements

Prototype rapidly to validate concepts and gather feedback

**Preferred Qualifications**

Proficiency with big data technologies (Spark, Kafka, or similar streaming platforms)

Experience with data warehouses (Snowflake, BigQuery, Redshift) and data lakes

Familiarity with ML frameworks (TensorFlow, PyTorch, scikit-learn)

Understanding of LLMs, vector databases, and retrieval systems

Experience with Model Context Protocol (MCP) integration and server development

Knowledge of AI agent architectures and tool-calling patterns

Experience building web applications with modern frameworks (React, Vue, or Angular)

Basic UX/UI design sensibilities for internal tooling

Experience with real-time data processing and analytics

Background in building developer tools or internal platforms

Familiarity with AI/ML operations (MLOps) practices (experience using Airflow)

Experience building MCP servers and integrating with AI assistants

Knowledge of structured data exchange protocols and API design for AI systems

**Minimum Qualifications**

5+ years of software development experience with strong coding practices

MS/CS degree

Proficiency in Python, with additional experience in React/JavaScript

Experience with version control, testing frameworks, and CI/CD pipelines

Hands-on experience with cloud data platforms (AWS/GCP/Azure)

Familiarity with ML frameworks (TensorFlow, PyTorch, scikit-learn)

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant .

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