Design and build an agentic AI platform to manage renewable energy certificates and automate related workflows. Collaborate across teams to integrate the platform, optimize user onboarding, and iterate based on feedback and metrics.
About the role
- Senior AI Developer at Autodesk, leveraging LLMOps and AgentOps to create AI applications. Collaborating with diverse teams to optimize data and deployment pipelines in a hybrid-remote setting.
Responsibilities
- Develop and improve AI applications using pretrained or existing models (LLM, VLM, 3D CAD models) and ensure seamless integration of AI components into larger software systems
- Build and integrate end-to-end systems and applications with a focus on system design, user experience, and application logic
- Implement and optimize LLMOps and AgentOps practices
- Identify opportunities to streamline processes, automate workflows, and improve R&D velocity
- Promote and establish best practices for code quality, infrastructure maintenance, model governance, security, and compliance
- Participate in design discussions with software architects and researchers to ensure a smooth transition from research to production
Requirements
- Degree in data science, computer science, statistics, or a related field, or equivalent professional experience
- Proficiency in Python and at least one other commonly used programming language (e.g., C++, Java, JavaScript)
- 3–5 years of MLOps/DevOps experience in a production environment
- Experience with industry best practices for developing and maintaining complex codebases
- Proactive problem-solving mindset and ability to work independently
- Ability to adapt to changing requirements and work in ambiguous areas
- Ability to decompose complex problems into smaller components and deliver clear solutions
Benefits
- Annual bonuses
- Stock grants
- Comprehensive benefits package
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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