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Conversational AI Modeling and Learning Software Developer
1 week ago
About the Role
We are seeking a highly skilled software development engineer to lead a new initiative at the forefront of using state-of-the-art innovations in Large Language Models (LLMs) to build an AI agent that can converse naturally with customers, entertain them, perform their requested tasks, and act autonomously to solve complex tasks.
As an SDE on the team, you will own building and re-architecting tier-1 services responsible for end-to-end orchestration and execution of multi-modal conversational agent requests. From getting the best prompt and context for the request, to picking the correct model to inference, to interpreting LLM's output, creating an actionable plan, and executing it.
Key Responsibilities
- Ability to quickly learn SOTA technologies and algorithms in the field of Generative AI on greenfield projects to participate in our journey to build the best conversational agent.
- Responsible for the development and maintenance of key platforms needed for connecting LLMs to actual user requests and real-world APIs required for building conversational agents.
- Work with other team members to investigate design approaches, prototype new technology, and evaluate technical feasibility.
- Work closely with Applied scientists to handle myriad of conversational use cases along with optimizing latency, cost, and capacity.
- Work in an Agile/Scrum environment to deliver high-quality software in a fast-paced environment.
A Day in the Life
As a SDE on the CAMEL team, you will be responsible for leading the development of high-performance, low-latency, and low-cost solutions for building the best-in-class conversational agent that solves real-world problems for millions of customers. You will have significant influence on our overall strategy by helping define the architecture of tomorrow, where multiple LLMs with different modalities come together to solve real-world customer problems.
Your work will directly impact our customers in the form of products and services that make use of conversational agent innovations. You will partner closely with experienced engineers and scientists to drive the system architecture and spearhead the best practices that enable a quality infrastructure.
