At a Glance
- Tasks: Collaborate with sales to deliver impactful AI solutions and present findings to customers.
- Company: Join a fast-paced SaaS startup focused on innovative AI technology.
- Benefits: Competitive salary, equity options, private healthcare, and generous holiday allowance.
- Other info: Enjoy hybrid working, learning budgets, and opportunities for international conferences.
- Why this job: Make a real difference in AI while working on exciting projects with cutting-edge technology.
- Qualifications: Experience in AI solutions, Python, and strong communication skills.
The predicted salary is between 80000 - 100000 £ per year.
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, but 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, prompt engineering, RAG 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
Compensation £105K – £125K • Offers Equity • £80-100k base salary with £25k additional commission
Forward Deployed Engineer - AI employer: Dormont Manufacturing Co
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 strong focus on employee development through a substantial learning budget, V7 empowers its team to thrive in a fast-paced environment. The hybrid working model and unique benefits, such as extended parental leave and opportunities for international conference attendance, make V7 an attractive choice for those seeking meaningful and rewarding employment in the AI sector.
StudySmarter Expert Advice🤫
We think this is how you could land Forward Deployed Engineer - AI
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Dormont Manufacturing Co or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Dormont Manufacturing Co.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Dormont Manufacturing Co.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Dormont Manufacturing Co that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Forward Deployed Engineer - AI
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Dormont Manufacturing Co.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Dormont Manufacturing Co and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Dormont Manufacturing Co
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Dormont Manufacturing Co uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
