Overview
The AI Solutions Engineer will play a pivotal role in enhancing and extending an AI Operating System geared towards solving industry-specific problems in sectors like defense, legal, health, and management consulting. In this hands-on lead position, you will collaborate directly with clients to translate their requirements into scalable, production-ready AI applications, utilizing modern frameworks and technologies.
Responsibilities
- Develop platform functionality using Python and build APIs to extend client-specific capabilities.
- Design and implement applications and workflows powered by large language models (LLMs).
- Build AI agents incorporating tool/function calling and prompt engineering.
- Implement testing and evaluation frameworks for LLM applications.
- Apply relevant AI technologies, including retrieval systems and knowledge graphs.
Requirements
- Minimum of five years as a software engineer with experience in production LLM-powered applications.
- Proven expertise in API-level LLM usage and prompt engineering.
- Experience with agent frameworks, such as OpenAI AgentSDK or LangGraph.
- Strong programming skills in Python, with a focus on production-grade applications.
- Experience working directly with clients to gather requirements and deliver technical solutions.
- Familiarity with agile development workflows.