
Senior Principal AI Engineer
2 days ago
We're pushing the boundaries of automation in computer vision to build a future where AI agents automate data curation, model tuning, and deployment. Our mission is to bridge cutting-edge research with production software by empowering engineers with intelligent tools that scale.
About the Role
As a senior principal AI engineer, you'll play a key role in delivering scalable, production-grade systems that automate and accelerate ML workflows—driving model deployment, evaluation, and data pipelines. This hands-on role requires software craftsmanship and AI expertise to design and implement scalable agent-driven systems.
This is an opportunity to work closely with top universities and research labs, turning state-of-the-art AI ideas into deployable, high-performance solutions.
Key Responsibilities:
Design and Implement Scalable Systems
- Develop robust APIs and backend services that enable agent orchestration, memory management, and cross-component communication
- Integrate vector databases, data quality validation, and semantic search to power intelligent agent behavior
- Own the end-to-end software lifecycle: from development to testing, CI/CD automation, and cloud deployment
Technical Requirements
- 8+ years of hands-on software engineering experience, with at least 2–3 years building AI/ML systems
- Strong Python development skills, including writing testable, production-grade code
- Proven experience with designing and deploying CI/CD pipelines for ML systems, containerization, cloud infrastructure, API development, database technologies, and AI agent frameworks
Additional Skills
- Familiarity with ML observability and performance monitoring tools
- Experience building simple user-facing interfaces for demos or internal tools
- Knowledge of LLM integration for autonomous agent systems
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