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AI Solutions Engineer ($160K – $200K + Equity) at V7

Jack & Jill
New York, United Statesvia LinkedIn
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This is a job that Jill, our AI Recruiter, is recruiting for on behalf of one of our customers.She will pick the best candidates from Jack's network The next step is to speak to Jack. Job Title: AI Solutions Engineer Salary: $160K – $200K + Equity Company Description: V7 - VC-backed AI platform turning human knowledge into trustworthy AI. Job Description:Join V7 as the second Solutions Engineer in NYC to accelerate the growth of V7 Go, a no-code AI agent toolkit. You will bridge sales and product, designing sophisticated LLM workflows for enterprise clients in finance and legal sectors. This role is pivotal in scaling a product that 4x-ed revenue last year. Location: New York, USA Why this role is remarkable:- Work with a high-growth startup backed by AI pioneers, including the minds behind Transformers and Gemini, at a company where revenue recently quadrupled. - Huge technical impact as the second SE in New York, directly shaping how global enterprises deploy agentic AI for complex, multi-modal data processing. - Total compensation includes a competitive base, a $30k commission structure, and equity in a fast-scaling platform processing tens of millions of documents. What you will do:- Lead technical discovery and POCs alongside Account Executives to design and implement custom no-code AI agent workflows for enterprise customers. - Build robust Python-based data pipelines and prompt engineering solutions that integrate various LLMs like GPT, Claude, and Gemini into client environments. - Serve as the primary technical point of contact for up to 10 concurrent projects, translating customer feedback into product requirements for the engineering team. The ideal candidate:- Experienced in delivering LLM-based projects, including API integration, prompt engineering, and measuring AI accuracy for enterprise-grade solutions. - Strong technical background with Python proficiency and the ability to design complex cloud architectures and data pipelines for diverse stakeho
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