Lead/Senior Fullstack Developer overseeing the development of scalable DiaB - platform solutions. Managing cloud architectures, API integrations, and providing technical leadership in a hybrid role.
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Hybrid Software Engineer, Agentic Tooling
Posted 5 months ago
About the role
- 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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