Assembled is building the infrastructure for exceptional customer support, aiming to simplify complex support operations by uniting in-house, outsourced, and AI-powered agents. The AI Products Team is specifically focused on developing autonomous AI agents to handle challenging customer support tasks, allowing human agents to focus on high-value interactions and reduce low-leverage work.
Requirements
- Have worked with LLMs and are excited to dive into them every day.
- Enhance our retrieval augmented generation engine using techniques like vector search, document re-ranking, and hypothetical document embeddings.
- 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.
- implement translation capabilities powered by LLMs and intelligent categorization of incoming tickets.
- help us leverage implicit knowledge bases like past tickets and macros to improve model performance.
- design and build a workflow builder that distills the complexity of workflows into a simple, intuitive interface
Responsibilities
- Build foundational new features: Develop product features from the ground up, such as implementing translation capabilities powered by LLMs and intelligent categorization of incoming tickets.
- design and build a workflow builder that distills the complexity of workflows into a simple, intuitive interface, making powerful tools accessible and easy to use for support agents.
- Improve LLM model results: Enhance our retrieval augmented generation engine using techniques like vector search, document re-ranking, and hypothetical document embeddings.
- help us 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.
- Scaling LLMs with Golang
Other
- Engage with customers: Collaborate with our customers (both support agents and managers) to understand their needs, how they interact with our product, and how we can improve their lives.
- 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 that’s all about staying positive, aiming for top-notch product quality, and taking initiative.
- Have 5+ years of experience in software engineering as an individual contributor.
- Are highly ambitious and driven and set high goals for yourself and others.
