C3.ai, Inc. (NYSE:AI) is a leading Enterprise AI software provider for accelerating digital transformation. The proven C3 AI Platform provides comprehensive services to build enterprise-scale AI applications more efficiently and cost-effectively than alternative approaches. The C3 AI Platform supports the value chain in any industry with prebuilt, configurable, high-value AI applications for reliability, fraud detection, sensor network health, supply network optimization, energy management, anti-money laundering, and customer engagement. Learn more at: C3 AI

We are looking for a highly skilled and experienced lead software engineer experienced in the field of machine learning and artificial intelligence, and passionate about Generative AI technology and building next-generation software platforms.

As a member of C3 AI’s Generative AI team, you will be tasked with developing the infrastructure and tools to improve the state-of-the-art and enable the use of this game changing technology in our enterprise applications. You’ll collaborate with product managers, data scientists and other engineers and will be responsible for the entire software engineering lifecycle. A successful candidate will thrive in a fast-paced, innovative, and highly collaborative environment, and demonstrate an ability to execute precisely and quickly. The ideal candidate will have in-depth experience with putting large scale machine learning models in production and a solid understanding of Large Language Models (LLMs).

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.

Qualifications:

  • 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.).

Preferred Qualifications:

  • Advanced degree in computer science, math, or similar quantitative field.
  • Knowledge of Agile development methodology.
  • Experience in leading engineering teams and projects.

C3 AI provides excellent benefits, a competitive compensation package and generous equity plan. 

California Pay Range$175,000—$219,000 USD

C3 AI is proud to be an Equal Opportunity and Affirmative Action Employer. We do not discriminate on the basis of any legally protected characteristics, including disabled and veteran status. 

Salary

$175,000 - $219,000

Yearly based

Location

Redwood City, CA

Job Overview
Job Posted:
9 months ago
Job Expires:
Job Type
Full Time

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