Senior AI Engineer - Data-Driven Productivity

General Motors Corporation; Austin (TX); Híbrido; USD 140.000 - 180.000; Jornada completa

Descripción de la vacante

General Motors Corporation seeks a Senior Software Engineer for the AI Engineering and Productivity team. This hybrid role in Austin, TX focuses on building AI-enabled software and data-intensive applications for Product Development engineering teams.

You will design, implement backend services in Java/Python, optimize SQL pipelines, and collaborate with data scientists to productionize AI/ML solutions while upholding quality, security, and observability.

Formación

• Bachelor’s degree or equivalent in a related field.
• 6+ years delivering enterprise or full stack software solutions using Java/JEE, Python, and Angular.
• 3+ years working with complex SQL queries, functions, and stored procedures.

Responsabilidades

• Design, develop, and maintain data-driven and AI-enabled applications and services.
• Write high-quality SQL queries for data transformations and modeling.
• Build and optimize data pipelines and workflows in Databricks and related tools.
• Develop backend services and APIs in Java and/or Python.
• Collaborate with data science teams to productionize AI/ML and LLM based solutions.
• Lead or contribute to solution design, architecture, and patterns.

Conocimientos

Java / JEE

Python

Angular

SQL

Databricks / Spark

Kubernetes / Docker

Quarkus

Azure / AWS / GCP

Agile / SCRUM

DevOps / GitHub Actions

AI concepts

Educación

Bachelor’s Degree in Computer Science, Software Engineering, Information Systems, Engineering, or related field

Master’s Degree (Preferred)

Herramientas

Databricks

Spark

Kubernetes

Docker

Quarkus

Azure

AWS

GCP

Descripción del empleo

General Motors Corporation seeks a Senior Software Engineer for the AI Engineering and Productivity team. This hybrid role in Austin, TX focuses on building AI-enabled software and data-intensive applications for Product Development engineering teams.

You will design, implement backend services in Java/Python, optimize SQL pipelines, and collaborate with data scientists to productionize AI/ML solutions while upholding quality, security, and observability.