AI Data & Python Tools Engineer for global consumer device company in

AI Data & Python Tools Engineer for global consumer device company in Austin, TX

We're seeking an AI Data and Tools Engineer to develop and deploy intelligent tools that leverage big data infrastructure and modern AI architecture. 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.

Responsibilities:

Develop and deploy AI-powered full-stack applications using Python, React, and modern machine learning frameworks

Design and streamline data pipelines, train and validate ML models, and implement robust evaluation methods

Collaborate with cross-functional teams to solve complex problems and integrate scalable, cloud-based AI solutions

Rapidly prototype, test, and iterate on AI tools with a strong focus on performance, flexibility, and scalability

Maintain clear technical documentation, perform code reviews, and support the full software development lifecycle

Software Engineering & AI/ML Data, Tools Development

2+ years of software development experience with strong coding practices

Proficiency in Python, with additional experience in React/JavaScript

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

Experience building ML pipelines and deploying models in production

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

Full-Stack Capabilities

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

API development and integration experience

Basic UX/UI design sensibilities for internal tooling

Big Data & Cloud Infrastructure

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

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

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

Knowledge of containerization (Docker/Kubernetes) and infrastructure as code

*Preferred Experience

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.

Location: Austin, TX (Hybrid; Tues-Thurs onsite)

Duration: 12+ months

Pay: $70/h - $80/h (DOE)