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Lead Software Engineer – Generative AI
Company | C3.ai |
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Location | San Carlos, CA, USA |
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Salary | $175000 – $219000 |
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Type | Full-Time |
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Degrees | Bachelor’s, Master’s |
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Experience Level | Senior, Expert or higher |
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Requirements
- Bachelor’s degree in Computer Science, Computer Engineering, or related fields, MS preferred.
- 8+ years of professional software development experience in Python; experience with Java and JavaScript preferred.
- Proven track record of design and development of full stack web solutions for complex problems.
- Strong hands-on experience and understanding of data structures, algorithms, profiling/optimization, DRY code, and Object-Oriented and Functional Programming.
- In-depth understanding of machine learning including deep learning algorithms.
- Proven track record of applying machine learning algorithms in a production system.
- Demonstrated end-to-end ownership of projects.
- Excellent verbal and written communication skills to collaborate multi-functionally and improve scalability.
- Demonstrated interest for Generative AI technology (e.g., projects with technologies like LangChain, Semantic Kernel, ChatGPT Plugins, etc.).
Responsibilities
- Work across teams to architect robust software engineering solutions and frameworks with cross product impact.
- Implement and enhance engineering best practices company wide.
- Build systems and tools to enable and simplify the use of Generative AI technologies in our applications using the C3 AI Platform.
- Enable scalable end-to-end machine learning pipelines in a distributed system with heterogeneous hardware (GPUs, TPUs, etc.).
- Work with data scientists to research and implement latest approaches to efficiently train/fine-tune Generative Models.
- Work with product owners to define and lead the long-term development the C3 Generative AI Suite.
- Lead cross-team technical design discussions on application architecture, UI components, UX, back-end and third-party integration, and testing.
- Manage individual project deliverables and mentor junior team members on industry coding standards and design techniques.
Preferred Qualifications
- Advanced degree in computer science, math, or similar quantitative field.
- Knowledge of Agile development methodology.
- Experience in leading engineering teams and projects.