V7 turns human knowledge into trustworthy AI, powering products that solve our hardest problems. Our platform lets customers build no-code AI workflows that solve knowledge work with V7 Go, and leverage expert humans to improve frontier AI model knowledge with V7 Darwin.
V7 were recently ranked No 1 in Sifted’s top B2B companies for 2024 and raised a $33m Series A including the AI Fund @ Radical Ventures. We are backed by some of the best minds in AI, from Ashish Vaswani (Invented Transformers, the basis of GPT) Oriol Vinyals (Google Deepmind and Gemini co-lead), Christian Szegedy (X.ai) and AI leadership at Amazon, X, Isomorphic, and Google. V7 is used to power AI’s rollout at Fortune 500 organisations including Sony, Boston Scientific and Genentech.
Take a tour of our product in 90 seconds here**: https://www.youtube.com/watch?v=F-DMAN8gbjk**
Or watch the recent keynote of V7 Go’s launch: https://www.youtube.com/watch?v=Hit-RogJKvg
About the role:
As an Solutions Engineer, you collaborate with sales teams to ensure key V7 customers achieve twice the impact in half the time. You will thrive on understanding technical leaders challenges and requirements and delivering complex solutions and POVs. You are a prototyper at heart with a gift of talking to customers, building relationships, and solving technical problems with repeatability.
You will join a team a high performing team of four, supporting the wider sales team on key deals and customer proof-of-values. V7 is an self-serve product, however complex problems sometimes require complex solutions that customers don’t always see - that’s where you come in.
What you will be be doing:
Solutions development and presentation: You will develop and present workflow implementations within V7 that combine prompt engineering, data ingestion pipelines, and format conversions, solving customer problems in image recognition, document processing, product development and more. You will present your findings to customers alongside sales.
Technical integrations: You will work with our product team to assist with the integration of new models and ML-Ops tools into V7.
Marketplace Integration: Develop and maintain the integration into major cloud marketplaces so users can more easily set up V7 on their cloud of choice.
Time management: Multi-task between up to 5 simultaneous projects delivered in short timeframes. You are a skilled multi-tasker and familiar with project management tools like Linear.
Who you are:
Experience delivering Large Language Model projects with customers, including LLM API integration, up-to-speed knowledge of foundation models, SFT (Supervised Fine-Tuning), prompt engineering, RAG (Retrieval-augmented generation) and / or measuring AI accuracy.
Two years + experience in solutions architecture or integrating multiple applications / data streams, or ML development within customer-facing roles.
Intermediate experience with Python.
University degree in computer science, engineering, mathematics or related fields.
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 as a another fast-paced SaaS startup or scale-up during a high-growth phase.
Preferred to have: expertise with langchain and similar tools for multimodal AI projects.
What’s in it for you:
V7 were named as Linkedin’s No2 top startup in the UK in 2023 and 1st on Sifted’s top B2B rising stars for 2024.
Top 15% quartile stock options through a EMI scheme.
Company wide revenue sharing bonus scheme.
Private Healthcare via Vitality.
Learning and Development wallet of £800 per year.
Monthly well being and mental health budget.
Personalised benefits platform via Thanks Ben.
Enhanced parental leave.
4-day company wide retreats in stunning locations.
Soho London office with a barista, fresh fruit, and other amenities.
Paid tickets, accommodation, and travel to relevant conferences, nationally or internationally (NeurIPS, ICCV, CVPR, ...) to expand your network & knowledge during normal times.
Hybrid working London, UK or remote across Europe timezone eligible.
What's the interview process: 1st recruiter screen with Sr Talent Acquisition Manager, 2nd Peer interview, 3rd Hiring Manager interview and 4th Product and technical test.
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