Software Engineer - AI Agents & Platform

Responsibilities

• Build foundational new features: Develop product features from the ground up, such as implementing a way to analyze gaps in a company's knowledge base with LLMs and building sophisticated information collection techniques with cutting edge STT and TTS.
• Help design and build a workflow builder that distills the complexity of workflows into a simple, intuitive interface.
• Improve LLM model results: Enhance our retrieval augmented generation engine using techniques like vector search, document re-ranking, and hypothetical document embeddings.
• Leverage implicit knowledge bases like past tickets and macros to improve model performance.
• Develop LLM Infrastructure: Architect the abstractions that enable the integration of various types of LLMs tailored for different applications.
• Design and implement evaluation and logging systems to monitor performance and build interfaces that expand our platform's capabilities.
• Engage with customers: Collaborate with our customers (both support agents and managers) to understand their needs.
• Wear many hats: Be versatile in roles — coding, user research, planning, brainstorming, interviewing, and cross-team collaboration.
• Shape the team culture: Encourage a startup mentality.

Requirements

• 5+ years of experience in software engineering as an individual contributor.
• Have worked with LLMs and are excited to dive into them every day.

Nice-to-Haves

• Experience contributing in startups or smaller companies.
• Experience scaling LLMs with Golang.
• Experience enhancing RAG results with Reciprocal Rank Fusion and Hybrid Search.
• Experience pioneering new LLM evaluation techniques.