Forward Deployed Engineer

Forward Deployed Engineer

Full-Time 80000 - 100000 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Develop and present AI solutions, integrating models and tools for customer success.
  • Company: Join a fast-paced tech startup shaping the future of AI in finance.
  • Benefits: Competitive salary, equity options, private healthcare, and generous holiday allowance.
  • Other info: Enjoy hybrid working, retreats, and opportunities to attend top conferences.
  • Why this job: Make a real impact by solving complex problems with cutting-edge AI technology.
  • Qualifications: Experience in AI projects, Python skills, and a degree in a related field.

The predicted salary is between 80000 - 100000 £ per year.

Software Engineers at V7 ensure that complex operations involving AI are performed reliably and efficiently at scale. The Backend Engineer role holds significant influence, shaping 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 for talking to customers, building relationships, and solving technical problems with repeatability.

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: Work with our product team to assist with the integration of new models and ML‑Ops tools into V7.
  • Marketplace integration: Develop and maintain 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 five 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, prompt engineering, RAG, and/or measuring AI accuracy.
  • Two years plus 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 in another fast‑paced SaaS startup or scale‑up during a high‑growth phase.
  • Preferred: 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, etc.) to expand your network & knowledge during normal times.

Forward Deployed Engineer employer: V7

V7 is an exceptional employer for Forward Deployed Engineers, offering a dynamic work culture that fosters innovation and collaboration. With competitive salaries, generous equity options, and a robust learning and development budget, employees are empowered to grow their skills while enjoying a healthy work-life balance through flexible hybrid working arrangements and ample holiday time. The opportunity to engage directly with customers and shape the future of AI solutions in a fast-paced environment makes V7 a truly rewarding place to advance your career.

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Contact Details:

V7 Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Forward Deployed Engineer

Tip Number 1

Get to know the company inside out! Research V7's products, values, and recent projects. This will help you tailor your conversations and show that you're genuinely interested in what they do.

Tip Number 2

Network like a pro! Connect with current employees on LinkedIn or attend industry events. Building relationships can give you insider info and might even lead to a referral.

Tip Number 3

Prepare for technical discussions! Brush up on your knowledge of AI, LLMs, and any relevant tools like LangChain. Be ready to discuss how your skills can solve real customer problems.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re serious about joining the team at V7.

We think you need these skills to ace Forward Deployed Engineer

Large Language Model projects
LLM API integration
Foundation models knowledge
SFT (Supervised Fine-Tuning)
Prompt engineering
RAG (Retrieval-Augmented Generation)
AI accuracy measurement

Some tips for your application 🫡

Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Forward Deployed Engineer role. Highlight your experience with AI, LLM projects, and any customer-facing roles you've had. We want to see how you can bring value to our team!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us why you're passionate about the role and how your background makes you a perfect fit. Don't forget to mention specific projects or experiences that relate to the job description.

Showcase Your Problem-Solving Skills:In your application, give examples of how you've tackled complex technical challenges in the past. We love seeing how you approach problem-solving, especially in customer-facing situations. Make it clear how you can help our clients achieve their goals!

Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you'll be one step closer to joining our amazing team at StudySmarter!

How to prepare for a job interview at V7

Know Your Tech Inside Out

Make sure you’re well-versed in Large Language Models and the specific technologies mentioned in the job description, like prompt engineering and ML development. Brush up on your Python skills too, as you'll likely be asked to demonstrate your technical knowledge.

Showcase Your Problem-Solving Skills

Prepare examples of how you've tackled complex technical challenges in previous roles. Be ready to discuss how you’ve developed solutions that align with customer needs, especially in a fast-paced environment. This will show your ability to think on your feet and deliver results.

Practice Your Presentation Skills

Since you’ll be presenting findings to customers, practice articulating your ideas clearly and confidently. Use mock presentations to get comfortable explaining technical concepts to non-technical stakeholders, as this is crucial for building relationships.

Demonstrate Your Multi-Tasking Ability

Be prepared to discuss how you manage multiple projects simultaneously. Share specific tools you’ve used, like Linear, and give examples of how you prioritise tasks to meet tight deadlines. This will highlight your organisational skills and adaptability.