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 processingExposure to AI / ML algorithmsFamiliarity with ML frameworks (TensorFlow, PyTorch, scikit-learn)Understanding of LLMs, vector databases, and retrieval systemsExperience with Model Context Protocol (MCP) integration and server developmentBig Data & Cloud Infrastructure
Knowledge of building and deploying cloud based applicationsHands-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 lakesKnowledge of containerization (Docker / Kubernetes) and infrastructure as codePreferred ExperienceExperience building web applications with modern frameworks (React, Vue, or Angular)API development and integration experienceBasic UX / UI design sensibilities for internal toolingExperience with real-time data processing and analyticsBackground in building developer tools or internal platformsFamiliarity with AI / ML operations (MLOps) practices (Experience using airflow)Experience building MCP servers and integrating with AI assistantsKnowledge 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)