Job Overview
Location
SF Office - 171 2nd, 4th floor
Job Type
Full-time
Category
Software Engineering
Date Posted
May 3, 2026
Full Job Description
📋 Description
- • As a Forward Deployed AI Engineer at Stack AI Inc., you will play a critical role in deploying enterprise-grade AI solutions, particularly Retrieval-Augmented Generation (RAG) pipelines and large language model (LLM) workflows, to expand the company’s reach with Fortune 500 and enterprise clients across industries.
- • Day to day, you will integrate LLMs into enterprise operations, work with strategic accounts to align technical solutions, optimize and support deployments on the Stack AI platform, map requirements within customer organizations, contribute to the Python backend and React/Next.js TypeScript frontend codebases, write proposals, lead product demos, forecast and close high-value opportunities, and evangelize Stack AI at enterprise events.
- • Stack AI is a fast-growing company providing a no-code drag-and-drop platform that enables users to design, test, and deploy AI workflows using LLMs to automate business processes, with applications ranging from chatbots and document processing to database querying and content creation.
- • In this role, you will deepen your expertise in enterprise AI deployment, gain hands-on experience shaping product direction from real customer feedback, develop go-to-market strategy insights, and grow as a technical leader bridging engineering, sales, and customer success in a high-impact, fast-paced environment.
🏖️ Benefits
- • Opportunity to work with Fortune 500 and enterprise clients across industries
- • Direct impact on product development by contributing to the Stack AI codebase
- • Exposure to go-to-market strategy and high-value opportunity forecasting
- • Chance to evangelize AI technology at enterprise events
- • Work at the forefront of LLM and RAG innovation in a no-code AI platform
Skills & Technologies
About Stack AI Inc.
Stack AI Inc. provides a low-code platform for building, deploying and scaling AI workflows and applications. Its cloud service offers drag-and-drop builders, pre-built templates, vector databases, model orchestration and enterprise-grade security, enabling teams to integrate large language models and data sources into chatbots, assistants and process automations without deep ML expertise.
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