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

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

Posted 1 week ago by OSI Engineering

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Negotiable
Undetermined
Hybrid
Austin, Texas Metropolitan Area
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Summary: The AI Data & Python Tools Engineer role involves developing and deploying intelligent tools that utilize big data infrastructure and modern AI architecture. The position requires strong software engineering skills to create production-ready AI applications, including integration with Model Context Protocol systems. The engineer will work collaboratively with cross-functional teams to solve complex problems and enhance AI solutions. This hybrid role is based in Austin, TX, and focuses on performance, flexibility, and scalability in AI tool development.

Key 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

Key Skills:

  • 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
  • Knowledge of building and deploying cloud-based applications
  • 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
  • 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

Salary (Rate): £70.00/hour

City: Austin

Country: United States

Working Arrangements: hybrid

IR35 Status: undetermined

Seniority Level: undetermined

Industry: IT

Detailed Description From Employer:

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/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 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)

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