Forward Deployed Engineer

V7 Labs; Greater London; On-site; GBP 90,225 - 135,338; Full time

Job summary

V7 Labs in New York is seeking a Solutions Engineer to join our go-to-market team, sitting at the intersection of sales and product to close complex deals.

You will run technical discovery, design AI-driven workflows, integrate LLM APIs, and collaborate with engineers and customers to deliver measurable value and rapid onboarding.

Qualifications

• Experience delivering Large Language Model projects with customers.
• Experience integrating LLM APIs and foundation models.
• Ability to design AI-driven solutions and architectures.

Responsibilities

• Run technical discovery, design solutions, and lead POCs with Account Executives to close deals.
• Build workflows within V7 Go; combining prompt engineering, data pipelines, and integrations.
• Act as the primary technical contact for accounts, handling challenges and spotting expansion opportunities.
• Juggle up to 10 concurrent projects while feeding customer insights back to product and engineering.

Skills

Prototyping

Customer engagement

Python

LLM API integration

Foundation models knowledge

Solutions design/architecture

Cloud provider integration

Prompt engineering

AI accuracy measurement

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

V7 Go is a platform for building and deploying custom AI agents, made for the document-heavy work finance and insurance teams handle every day. It takes multi-modal data and returns verifiable outputs with transparent logic, so accuracy and compliance come built in. It runs on the latest models too, including GPT, Claude and Gemini. Have a look at what we're building for finance and insurance.

Most AI agents still behave like black boxes. They wander off-task, miss the context that matters, and make calls you can't check. Go Agents are different: predictable, transparent, and auditable at every step.

• Build custom AI workflows with controlled analysis at every stage. Every output comes with citations and a full audit trail, so the human in the loop can see exactly how it got there.

• The Context Graph makes all your data (across workflows, documents and integrations) queryable in one place, giving your agents the context to be properly useful. It's your institutional memory.

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

• You’ll join our go-to-market team as our second Solutions Engineer in New York (the team is six people), sitting at the intersection of sales and product in a company processing tens of millions of documents for customers across finance, insurance, and real estate.

• V7 Go 4x-ed revenue last year, with 160%+ upsell into accounts. You'll help accelerate that trajectory by making sure every customer gets real value.

• We run a lean, high-trust team where you'll work directly with AEs, engineers, and product to close complex deals and turn new logos into long-term champions.

• Your work directly shapes how enterprises experience agentic AI for the first time and how quickly they believe in it.

What you’ll be doing from day one

• Run technical discovery, design solutions, and lead POCs alongside Account Executives to close deals, then own onboarding to get customers to first value fast.

• Build and implement workflows within V7 Go; combining prompt engineering, data pipelines, and integrations to solve real customer problems across document processing and more.

• Act as the primary technical contact for accounts, handling complex challenges and spotting expansion opportunities as customers scale.

• Juggle up to 10 concurrent projects while feeding customer insights back to product and engineering.

Who you are

• You are a prototyper at heart with a gift of talking to customers, building relationships, and solving technical problems with repeatability.

• You have experience in delivering Large Language Model projects with customers, including LLM API integration, up-to-speed knowledge of foundation models, solutions design/architecture, integrating different cloud providers, prompt engineering, and/or measuring AI accuracy.

• You love coding with Python.

• You can develop and articulate an AI solution vision to technical and business stakeholders, with customers and partners to match the value proposition to business needs.

V7 champions equality and inclusion because diverse teams build better products.