Enterprise AI Engineer: RAG & LLM Solutions

Stack AI, Inc.

San Francisco (CA)

On-site

USD 110,000 - 150,000

Full time

14 days+

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Job summary

Stack AI, Inc. is seeking an experienced engineer to deploy enterprise-grade AI solutions, focusing on Retrieval-Augmented Generation (RAG) pipelines and large language model (LLM) workflows. This position is vital to expanding our reach with Fortune 500 and enterprise clients across various industries.

The successful candidate will work closely with strategic accounts, optimizing solutions and co-designing responses to emerging needs using the Stack AI platform. Responsibilities include contributing to the codebase, writing proposals, and leading product demos.

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.

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 improvements.
Forecast and close high-value opportunities.
Write proposals, pitch stakeholders, and lead product demos.
Evangelize Stack AI at enterprise events.