Software Engineer - Generative AI

C3 AI is looking for a Software Engineer passionate about Generative AI and building cutting-edge software platforms. If you have a strong background in machine learning and a drive to create next-generation enterprise applications, we want to hear from you.

As a core member of our Generative AI team, you'll develop the infrastructure and tools that enhance our state-of-the-art capabilities and integrate this transformative technology into our applications. You'll collaborate closely with product managers, data scientists, and engineers, taking ownership of the entire software engineering lifecycle. This role is perfect for someone who thrives in a fast-paced, innovative, and highly collaborative environment, and can execute precisely and quickly. The ideal candidate will have deep experience deploying large-scale machine learning models to production and a solid grasp of Large Language Models (LLMs).

Responsibilities:

• Build systems and tools to enable and simplify the use of Generative AI technologies in our applications on the C3 AI Platform.
• Develop scalable, end-to-end machine learning pipelines within a distributed system, accommodating heterogeneous hardware (GPUs, TPUs, etc.).
• Partner with product owners to define and lead the long-term development of the C3 Generative AI Suite.

Qualifications:

• Bachelor's degree in Computer Science, Computer Engineering, or a related field; a Master's degree is preferred.
• Excellent programming skills in Python.
• 3+ years of work experience in a fast-paced software company.
• Thorough knowledge of data structures, algorithms, profiling/optimization, DRY code, and Object-Oriented and Functional Programming.
• Demonstrated end-to-end ownership of projects.
• Proven interest in Generative AI technology (e.g., projects with LangChain, LlamaIndex, PydanticAI, Haystack, etc.).
• Proficiency in spoken and written English.

Preferred Qualifications:

• Track record of applying machine learning algorithms in a production system.
• Advanced degree in Computer Science, Math, or a similar quantitative field.
• Experience with JavaScript frameworks such as React, Redux, Vue, Backbone, or Angular.
• Knowledge of Agile development methodology.
• Familiarity with distributed systems, test-driven development, SQL and NoSQL databases, and performance optimization tools.