Software Engineer developing and implementing tools for client-facing deployments of AI solutions. Collaborating with engineering teams to enhance machine learning workflows and backend systems.
Responsibilities
Collaborate with peer engineers to build reliable, user-friendly tools for client deployments
Contribute to the development of backend systems powering machine learning workflows
Manage and improve cloud infrastructure for model deployment
Author documentation for onboarding and usability of tools
Drive adoption of tools with customer engineering teams
Requirements
3+ years of experience in software engineering, ML engineering, or data-focused development roles
Exposure to deploying machine learning models or supporting AI/ML workloads in production environments
Strong communication skills and a collaborative mindset
Demonstrated expertise with GenAI applications using Python
Experience designing web APIs and packaged libraries
Fluency in DevOps practices and tooling (CI/CD, observability, Infra as code, etc.)
Experience building applications that work with Microsoft Office documents (Word, Excel, PowerPoint) preferred
Ability to strategize across multiple layers of abstraction and reduce complexity
Benefits
Competitive pay structure that reflects market conditions and internal equity
Bonuses and equity included for positions above entry level
Total compensation discussions during hiring process
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