J&
AI Solutions Engineer
Jack & Jill
New York · On-site Full-time $160k – $200k/yr 1w ago
About the role
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 stakeholders.
- Excellent communicator who can articulate a vision for AI solutions to both technical leads and business executives while managing multiple high-stakes accounts.
Skills
ClaudeGPTGeminiPython
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