At a Glance
- Tasks: Collaborate with sales to deliver AI solutions and presentations for key customers.
- Company: V7 is a leading AI company, ranked No 1 in Sifted’s top B2B companies for 2024.
- Benefits: Enjoy a competitive salary, equity options, private healthcare, and generous holiday allowance.
- Why this job: Join a high-performing team at the forefront of AI innovation, impacting Fortune 500 companies.
- Qualifications: 2+ years in solutions architecture, experience with LLM projects, and a degree in a related field.
- Other info: Flexible hybrid working, learning budget, and opportunities to attend international conferences.
The predicted salary is between 84000 - 105000 £ per year.
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 was 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.
Software Engineers at V7 ensure that complex operations involving AI – think applying foundation models like Gemini Pro to enable complex analyses across large financial documents - are performed reliably and efficiently at scale. The Backend Engineer role holds significant influence, shaping the trajectory of the company's future in close collaboration with the Founders.
About the role: As a Forward Deployed Engineer, you will 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 high performing team of two, supporting the wider sales team on key deals and customer proof-of-values. V7 is a 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 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 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:
- £80-100k base salary with £25k additional commission.
- Top 15% quartile equity options plan through an EMI scheme.
- Private Healthcare via Vitality for our UK employees, or equivalent allowance outside of UK.
- Pension contribution through Nest.
- £800 Learning and Development budget.
- Apple MacBook suitable for your role.
- Monthly wellbeing and mental health budget via ThanksBen.
- Personalised benefits platform via Thanks Ben.
- Enhanced Parental Leave.
- 30 days holiday, plus an additional day for every year of service with V7, plus Bank Holidays on top.
- 4-day company-wide and 4 day departmental retreats in stunning locations.
- Hybrid working with flexibility, role dependent.
- Temporary work from anywhere for one month in the calendar year.
- Paid tickets, accommodation, and travel to relevant conferences, nationally or internationally (NeurIPS, ICCV, CVPR, ...) to expand your network & knowledge during normal times.
What’s the interview process:
- 1st recruiter screen with Sr Talent Acquisition Manager.
- 2nd Peer interview.
- 3rd Hiring Manager interview.
- 4th Product and technical test.
Sales Forward Deployed Engineer - AI London £105K - £125K employer: V7 Labs
Contact Detail:
V7 Labs Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Sales Forward Deployed Engineer - AI London £105K - £125K
✨Tip Number 1
Familiarise yourself with V7's products and their applications in AI. Understanding how V7 Go and V7 Darwin work will help you articulate your insights during interviews, showcasing your genuine interest in the company and its solutions.
✨Tip Number 2
Network with current or former employees of V7 on platforms like LinkedIn. Engaging in conversations about their experiences can provide you with valuable insights into the company culture and expectations, which you can leverage during your interviews.
✨Tip Number 3
Prepare to discuss specific examples of your experience with Large Language Models and AI solutions. Be ready to explain how you've tackled complex technical challenges in previous roles, as this will demonstrate your problem-solving skills and relevance to the Forward Deployed Engineer position.
✨Tip Number 4
Brush up on your Python skills and any relevant tools like langchain. Being able to showcase your technical proficiency during the interview process will set you apart from other candidates and show that you're ready to hit the ground running.
We think you need these skills to ace Sales Forward Deployed Engineer - AI London £105K - £125K
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in AI solutions, large language models, and customer-facing roles. Use keywords from the job description to demonstrate your fit for the Sales Forward Deployed Engineer position.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI and how your background aligns with V7's mission. Mention specific projects or experiences that showcase your ability to solve complex problems and work collaboratively with sales teams.
Showcase Technical Skills: Clearly outline your technical skills, especially in Python, prompt engineering, and ML development. Provide examples of how you've successfully integrated multiple applications or data streams in previous roles.
Prepare for Interviews: Research V7 and its products thoroughly. Be ready to discuss how you would approach developing and presenting workflow implementations, as well as your experience with technical integrations and project management tools.
How to prepare for a job interview at V7 Labs
✨Understand the Product
Before your interview, take the time to thoroughly understand V7's products and how they leverage AI. Familiarise yourself with their no-code AI workflows and the specific challenges they solve for customers. This knowledge will help you articulate how your skills can contribute to their mission.
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Large Language Models, prompt engineering, and any relevant projects you've worked on. Highlight your proficiency in Python and any tools like langchain that are pertinent to the role. Demonstrating your technical expertise will be crucial.
✨Prepare for Problem-Solving Scenarios
Expect to encounter problem-solving scenarios during the interview. Practice articulating your thought process when tackling complex technical challenges. Be ready to explain how you would approach integrating new models or developing solutions for customer needs.
✨Emphasise Collaboration and Communication
As a Forward Deployed Engineer, you'll need to work closely with sales teams and customers. Prepare examples of how you've successfully collaborated in the past, particularly in customer-facing roles. Highlight your ability to communicate complex technical concepts to non-technical stakeholders.