Enterprise AI Engineer: RAG & LLM Deployments

StackAI; San Francisco (CA); On-site; USD 140,000 - 200,000; Full time

Job summary

StackAI is seeking an experienced engineer to deploy enterprise-grade AI solutions, focusing on Retrieval-Augmented Generation (RAG) pipelines and large language model (LLM) workflows, for Fortune 500 and enterprise clients across industries.

You will integrate LLMs into enterprise operations, working with strategic accounts to align solutions and technical approaches, and co-design offerings using the StackAI platform to meet emerging client needs.

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, or large analytic programs.
• Eagerness to build a business in a fast-paced environment.
• Ability to travel 10-20% of the time.

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

Skills

Data science

Software development

Generative AI

RAG pipelines

LLM workflows

Enterprise accounts

Tools

Stack AI platform

Job description

StackAI is seeking an experienced engineer to deploy enterprise-grade AI solutions, focusing on Retrieval-Augmented Generation (RAG) pipelines and large language model (LLM) workflows, for Fortune 500 and enterprise clients across industries.

You will integrate LLMs into enterprise operations, working with strategic accounts to align solutions and technical approaches, and co-design offerings using the StackAI platform to meet emerging client needs.