AI Data & Python Tools Engineer for a well-known consumer device company in Austin, TX

OSI Engineering; Austin (TX); Hybrid; USD 55,104 - 82,656; Part time

Job summary

A leading engineering firm in Austin, TX, is hiring an AI Data & Python Tools Engineer to develop and deploy advanced AI applications. The role requires proficiency in Python and experience with machine learning frameworks. Responsibilities include building production-ready applications, designing scalable data pipelines, and collaborating with teams to deliver AI solutions. The position is contract-based for 12+ months, with a hybrid work environment. Candidate must have a strong foundation in software engineering and back-end services.

Qualifications

• Proficiency in Python with experience in backend services.
• Familiarity with AI/ML algorithms and frameworks.
• Experience with cloud data platforms and big data technologies.

Responsibilities

• Develop and deploy AI-powered full-stack applications.
• Design and streamline data pipelines.
• Collaborate with teams to integrate scalable AI solutions.

Skills

Python

AI/ML algorithms

ML frameworks (TensorFlow, PyTorch)

Cloud applications (AWS/GCP/Azure)

Big data technologies (Spark, Kafka)

Containerization (Docker/Kubernetes)

Job description

AI Data & Python Tools Engineer for a well-known consumer device company in Austin, TX

This range is provided by OSI Engineering. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$40.00/hr - $60.00/hr

Direct message the job poster from OSI Engineering

Technical Recruiter at OSI Engineering, inc

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
• 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

Seniority level

Associate

Employment type

Contract

Job function

Design and Engineering

Industries: IT Services and IT Consulting, Design Services, and Engineering Services

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