AI Data & Python Tools Engineer
We're seeking an AI Data and Python 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

Proficiency in Python, with a background in back end services and data processing
Exposure to AI/ML algorithms
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

Big Data & Cloud Infrastructure

Knowledge of building and deploying cloud based applications
Hands-on experience with cloud data platforms (AWS/Google Cloud Platform/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 building web applications with modern frameworks (React, Vue, or Angular)
API development and integration experience
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.

Location: Austin, TX (Hybrid; Tues-Thurs onsite)
Duration: 12+ months
Pay: $70/h - $80/h (DOE)

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

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