At Maxim, we are building an end-to-end evaluation stack to help development teams evaluate AI applications and iteratively improve them. Our platform streamlines the entire lifecycle of AI applications, right from prompt engineering (experimentation, versioning, deployment) to pre-release testing for quality and functionality, test-set creation and management, and post-release monitoring. Our goal is to help development teams collaborate seamlessly to ship high quality AI products, faster.
About the role
The Applied AI engineer role at Maxim is a high-impact, self-directed role and covers a broad scope of work across RAG, fine-tuning LLMs, synthetic data generation and more. This role involves keeping up-to-date with the latest advancements in LLM technologies and research, and utilizing these advancements to enable AI developers in crafting more magical experiences.
Responsibilities The responsibilities in this role include but are not limited to:
Read research papers, stay updated about the latest developments, and communicate relevant insights
Be the central resource in LLM usage and best practices for teams across the company
Prototype new features leveraging LLMs
Collaborate with software engineering, product, and design teams to take your research from prototype to production
Focus on effective written and verbal communication, both internal and external
Tech Stack
Python + Rust
About you
A strong background in computer science, particularly in machine learning and natural language processing, and an understanding of AI ethics and responsible AI practices
You have a deep, demonstrable passion for the emerging world of LLMs
You thrive in ambiguity and love ambitious problem statements
You have excellent communication skills and are proficient at simplifying complex technical concepts for diverse audience
You enjoy interacting with internal/external teams to learn and share more about the emerging AI space
Nice to Haves
You have previous experience working with LLM research or commercial projects
You have previously worked on hard technical problems