Offer summary

Qualifications:

Background in engineering or technical solutions development., Experience with Large Language Models (LLMs) and AI projects., Strong interest in foundation models, prompt engineering, and AI ecosystem., Ability to develop and present AI solution visions to stakeholders..

Key responsibilities:

Develop and present proposals for AI features to leadership and teams.

Work closely with solutions team to implement and scale AI applications.

Stay involved in technical implementation of features, learning the company's tech stack.

Champion new AI capabilities and contribute to the platform's roadmap.

Job description

At V7, we’re building AI platforms that help humans do their best work, at incredible scale and speed. Our mission is to turn human knowledge into trustworthy AI, making complex tasks faster, smarter, and more accurate.

We’re growing fast, backed by leading investors and AI pioneers (including the minds behind Transformers and Gemini).

The Product you'll be working on

V7 Go provides legal, finance, insurance, and accounting teams with a toolkit for deploying and building custom no-code AI agents. The platform focuses taking multi-modal data and delivering verifiable outputs with transparent AI logic to ensure accuracy and compliance.

V7 Go supports all of the latest models like GPT-4, Claude 3, and Gemini 1.5 for the best accuracy and performance.⁠⁠⁠⁠ Watch the V7 Go keynote to see what we’re building.

The team you’ll be joining and impact you’ll have

As an AI Product Engineer, you will sit within Engineering while maintaining a very close working relationship with our Solutions team.
Your role will focus on pioneering cutting-edge applications of the latest advancements in Foundation Models to unlock features within the Go Platform.
You'll report directly in our CTO.

What you will be doing from day one

Solution ideation and presentation: You will develop and present proposals to Leadership, Product and Engineering. Our roadmap is a collaborative effort, and the AI Product Engineer will play a critical role in steering where we invest our development capacity and providing direct input into the platform’s roadmap.
Enabling real world use cases: by working closely with the Solutions team, you will be able to champion key new capabilities to productionize and scale the most ambitious applications of GenAI.
Technical implementation: Once a feature is scheduled into the roadmap, you will stay involved throughout the implementation. Our BE is built in Elixir and Python, so a strong interest to learn our stack is essential, but previous experience is not required.

Who you are:

Strong interest in and commitment to staying abreast of the rapidly evolving Foundation Model eco-system, and a drive to leverage these capabilities in novel, real world use cases.
Experience delivering Large Language Model projects with customers, including LLM API integration, current knowledge of foundation models, prompt engineering, RAG, fine tuning, and managing AI projects.
You either come from an Engineering background, or your desire to ship working solutions has allowed you to build out a range of technical solutions. You pride yourself on strong Engineering principles to build robust, trustworthy and scalable solutions.
Solutioning: ability to develop and articulate an AI solution vision to technical and business stakeholders with customers and partners to match value proposition to business needs.
Thrived in another fast-paced SaaS startup or scale-up during a high-growth phase.

Required profile