Role overview
We’re seeking an experienced engineer to deploy enterprise-grade AI solutions, focusing on Retrieval-Augmented Generation (RAG) pipelines and large language model (LLM) workflows. This role is vital to expanding our reach with Fortune 500 and enterprise clients across various industries.
Responsibilities
- Optimize and support solutions within strategic accounts on the Stack AI platform.
- Map requirements and relationships within target enterprise customer offices.
- Pursue opportunities and provide feedback on our go-to-market strategy.
- Contribute directly to the StackAI codebase, translating customer feedback into platform improvements across the Python backend and React/Next.js TypeScript frontend.
- Forecast and close high-value opportunities.
- Write proposals, pitch stakeholders, and lead product demos.
- Evangelize Stack AI at enterprise events.
Basic qualifications
- 3+ years of experience in data science, software development, or generative AI.
- Experience with strategic enterprise accounts, preferably Fortune 500.
- Expertise in AI/ML, RAG pipelines, LLM workflows, and enterprise data analytics.
- Eagerness to build a business in a fast-paced environment.
- Ability to travel 10-20% of the time.
About the company
- Chatbots and Assistants: AI agents that interact with users, answer questions, and complete tasks, using your internal data and APIs.
- Document Processing: apps to answer questions, summarize, and extract insights from any document, no matter how long.
- Answer Questions on Databases: connect GPT-like models to databases (such as Notion, Airtable, or Postgres) and ask questions about them.
- Content Creation: generate tags, summaries, and transfer styles or formats between documents and data sources.
Tags & focus areas
Used for matching and alerts on DevFound Fulltime Remote Ai Ai Engineer Generative Ai