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

OSI Engineering; Cupertino (CA); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Relocation assistance based on individual needs

Job summary

A technology solutions firm is seeking a Full-Time Software Engineer specializing in AI-powered applications. Candidates should possess over three years of Python development experience and a solid understanding of machine learning frameworks such as TensorFlow and PyTorch. Responsibilities include developing data pipelines and collaborating on cloud-based solutions. The position is based in Cupertino, CA, with relocation assistance available.

Qualifications

• 3+ years of Python development experience preferred.
• Exposure to AI/ML algorithms and frameworks.
• Hands-on experience with cloud data platforms.
• 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

Responsibilities

• Develop and deploy AI-powered applications.
• Design data pipelines and validate ML models.
• Collaborate with teams for 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

Skills

Python Development

AI/ML algorithms

Machine Learning frameworks

Cloud data platforms

Big data technologies

Containerization (Docker/Kubernetes)

Big data

Data warehouses

Docker/Kubernetes

API development

Tools

TensorFlow

PyTorch

scikit-learn

AWS

GCP

Azure

Job description

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

• 3+ years of Python Development 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.

Type: Full Time

Location: Austin, TX or Cupertino, CA (Monday- Friday onsite)

Relocation assistance can be offered based on individual needs and circumstances