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).
V7 Go helps teams turn complex, repeatable work into AI workflows they can run, review and improve. Built for private markets, insurance and real estate, it supports investment diligence, underwriting, claims review and portfolio reporting—from analysing documents and data to generating deliverables and updating connected systems.
Your experts define how the work should be done. V7 combines reusable Skills, shared company knowledge and configurable workflows, with citations, audit logs and human review to help teams verify results and control key decisions. It supports models including GPT, Claude and Gemini.
Build workflows around your processes. Configure each stage, choose models and tools, and set review steps where human judgement matters. Teams can inspect sources, correct outputs and refine workflows over time. Explore workflows.
Give every workflow your firm’s knowledge. The Context Graph connects documents, entities, relationships and source evidence, creating institutional memory that teams and agents can draw on.
Turn analysis into work your team can use. Generate editable memos, reports, presentations and spreadsheets, and connect workflows to the tools your business already uses. Explore document generation.
The team you’ll be joining and impact you’ll have
Reporting to Chris, our Engineering Manager, you’ll be working in the Go Engineering team.
You’ll work in a team of (eventually) 7 people and be given significant responsibility, not just for coding but also for testing, planning, and analysis.
You’ll set your own goals, plans, and metrics, focusing on impact and outcomes rather than task completion.
Engineers are expected to be self-starters who really strive for impact. This means proactively solving problems, seeking help when needed, and having a strong sense of product ownership.
What you’ll be doing from day one
Enabling foundation models to be applied to multimodal data at scale.
Helping to scale our platform to meet challenging multi tenant usage patterns.
Building a rich suite of APIs to power all of our internal systems and customer-facing products.
Shipping to production multiple times a day, working closely with Product and Design to solve customer problems.
Who you are
You’ll have experience with functional programming. Familiarity with Elixir is a plus, but other languages like Scala, GoLang, Node.js, Haskell, Clojure, and F# are also great.
Infrastructure management experience at scale; ideally you should be comfortable in using AWS and terraform.
An understanding of queue management and observability.
Experience with orchestration tools like Docker.
Knowledge of GenAI and prompt engineering.
Place the customer at the heart of everything you do.
V7 champions equality and inclusion because diverse teams build better products. Don't check every box? Apply anyway — we value what makes you unique and will support you through the process, just let our Talent team know how they can help.
Skills Required
- Experience with functional programming
- Infrastructure management experience at scale
- Familiarity with AWS
- Familiarity with Terraform
- Understanding of queue management and observability
- Experience with orchestration tools such as Docker
- Knowledge of generative AI and prompt engineering
- Customer-focused approach and strong product ownership
- Familiarity with Elixir
What We Do
V7 offers a complete toolkit for your training data engine: Automated labeling tools, models in the loop, annotation services, and a powerful API. The world's best deep learning teams use V7 Darwin to orchestrate their data through models and humans to generate ground truth
