Senior Full Stack Engineer responsible for developing and integrating AI tools in a HealthTech startup, providing impactful solutions for therapists' workflows.
About the role
- Platform Engineer on GM’s Enterprise AI team, developing AI infrastructure and collaborating cross-functionally. Focused on high-performance systems and project initiatives in AI/ML.
Responsibilities
- Develop and test cutting-edge AI infrastructure, optimizing machine learning and AI-driven applications across GM’s global platforms.
- Collaborate with cross-functional teams (data scientists, software engineers, product teams) to bring AI solutions into production at scale.
- Implement robust, high-performance software systems with a focus on scalability, security, and efficiency.
- Lead technical initiatives in validation, deployment, and monitoring in real-world environments.
- Implement integrations with diverse data sources and SaaS platforms using APIs, while orchestrating workflows through internal and third-party tools.
Requirements
- 5-7 years’ experience required of software engineering
- fluency in .NET, Python or Java
- Bachelor’s degree in Computer Science, Data Science, AI/ML, or equivalent experience
- Understanding of machine learning, deep learning, and statistical modelling
- Familiarity with cloud-based AI/ML platforms (AWS, GCP, Azure) and containerization using Docker and Kubernetes
- Experience adapting AI integrations with tools such as Slack, Google Workspace, Moveworks, Glean, Copilot, Workday and/or ServiceNow.
Benefits
- From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions.
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