- Own and enhance our internal Generative AI frameworks (TRINA and BRAIN).
- Refactor and optimize existing codebases to be faster and more efficient.
- Implement new features to expand the capabilities of our AI agents.
- Collaborate with GTM teams to understand their needs and improve AI integrations.
- Integrate BRAIN more deeply into our development workflows.
- Convert Python code into compiled languages (Rust, Go, C++) for performance gains.
- Stay current with the latest advancements in Generative AI and propose innovative solutions.
- Measure and improve the impact of AI on operational efficiency and revenue per employee.
- Strong proficiency in Python and experience with compiled languages like Rust, Go, or C++.
- Hands-on experience with Generative AI models and frameworks (OpenAI, Anthropic, etc.).
- Familiarity with AWS services (Beanstalk, lambda, batch), tools like LangChain, and vector databases like Pinecone.
- Experience with function calling, adversarial agent structures, and Chain of Thought prompting.
- Proven ability to optimize and refactor code for performance.
- Self-motivated and comfortable in a high-stress, fast-paced environment.
- Willingness to take ownership and work weekends when necessary.
- Code/project you can share live during your interview.
- Favorite paper on getting the most out of LLM’s
- Interesting side projects that showcase your skills and passions—we're going to ask you about them!
TBD