V7
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
Join a small, high-performing AI team pushing the boundaries of what our platform can achieve
Your code will directly impact how thousands of customers solve real-world challenges with AI
High-ownership, low-process environment where your problem-solving skills scale our AI capabilities
Build agents, tune models, and ship AI solutions that power our entire platform
What you'll be doing from day one:
Build LLM agents for document understanding, search, and image recognition that go from prototype to production fast
Write clean, tested Python code that scales—no research papers, just working AI features
Collaborate with AI and product teams to iterate on solutions that customers actually use
Juggle multiple projects with high ownership using LangGraph and cutting-edge AI frameworks
Who you are
2+ years building production LLM apps with deep knowledge of APIs, prompt engineering, SFT, and RAG
Python expert who writes clean, production-ready code with a CS/engineering degree to back it up
Natural problem-solver who can explain complex AI challenges to anyone, from engineers to executives
Pragmatic builder over academic researcher—you ship working solutions fast and love using tools like LangGraph
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