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AI Solutions Engineer

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 AI 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 (AI Solutions Engineer) 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 (AI Solutions Engineer):

  • 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:

  • $130-170k base salary with $30k additional commission

  • 100% remote role with expected travel the UK for revenue kick offs, QBRs, Onboarding, etc

  • Equity of a Series A UK HQ business.

  • 30 days holiday, plus an additional year for every year of service with V7, plus Bank Holidays on top

  • Insurance (Medical, Dental, Vision, LTD) monthly amount budget.

  • 401(K) plan

  • Learning and Development annual wallet $1,000.

  • Apple MacBook suitable for your role

  • Monthly wellbeing and mental health benefit via Thanks Ben.

  • Enhanced parental leave

  • Paid tickets, accommodation, and travel to relevant conferences, nationally or internationally (NeurIPS, ICCV, CVPR, ...) to expand your network & AI knowledge.

  • Fully paid trip to Europe for annual company retreat. Take a look at our 2023 Italian retreat here.

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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What You Should Know About AI Solutions Engineer , V7

Join V7 as an AI Solutions Engineer in New York, where we're on a mission to transform human knowledge into reliable AI. At V7, we empower our customers to create no-code AI workflows that tackle the toughest challenges using V7 Go and leverage expert input to enhance AI model accuracy with V7 Darwin. You’ll work closely with sales teams to ensure that our esteemed clients experience double the impact in half the time. In this role, you'll utilize your knack for understanding technical requirements to deliver innovative solutions and proof-of-values. You'll thrive in a high-paced environment, mastering multiple projects while communicating effectively with customers. Your skillset should include experience in managing Large Language Model projects, integrating applications, and a solid foundation in Python. As an AI Solutions Engineer, you won’t just offer solutions; you'll be instrumental in combining data pipelines, prompt engineering, and product presentations to showcase our advanced capabilities in fields like image recognition and document processing. Plus, with the flexibility of a remote working setup, vibrant company culture, and comprehensive benefits—including a competitive salary range of $130-170k and a lucrative commission structure—V7 is a fantastic place to grow your career in AI while making a real impact.

Frequently Asked Questions (FAQs) for AI Solutions Engineer Role at V7
What does an AI Solutions Engineer do at V7?

As an AI Solutions Engineer at V7, your primary role involves collaborating with sales and technical teams to address customer challenges with innovative AI solutions. You will focus on developing and presenting complex workflows using tools like V7 Go and Darwin, ensuring customers can effectively navigate our no-code platform while achieving remarkable results.

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What qualifications are required for the AI Solutions Engineer role at V7?

To qualify for the AI Solutions Engineer position at V7, candidates should possess at least two years of experience in solutions architecture or ML development, particularly within customer-facing roles. A university degree in computer science, engineering, or mathematics is also essential, along with skills in Python and familiarity with Large Language Models.

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What does the typical day look like for an AI Solutions Engineer at V7?

A day in the life of an AI Solutions Engineer at V7 involves engaging with sales teams and customers to understand their needs, developing technical solutions, working on integration projects, and presenting findings. You'll also manage multiple projects simultaneously, collaborating across departments to ensure client satisfaction and project success.

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Can you describe the company culture at V7 for an AI Solutions Engineer?

V7 fosters a dynamic and inclusive company culture that encourages innovation and collaboration. As an AI Solutions Engineer, you'll enjoy working in a fast-paced environment with a supportive team, ample opportunities for professional growth, and active participation in conferences and networking events to broaden your AI expertise.

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What benefits does V7 offer to AI Solutions Engineers?

At V7, AI Solutions Engineers enjoy a competitive salary between $130-170k, generous commission opportunities, a remote work arrangement, comprehensive health insurance, enhanced parental leave, and a robust learning budget. The company also offers equity in the business and organizes annual company retreats and conferences to support employee development and well-being.

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Common Interview Questions for AI Solutions Engineer
How do you approach problem-solving for customers in your role as an AI Solutions Engineer?

When solving customer problems as an AI Solutions Engineer, I start by thoroughly understanding their specific challenges and objectives through listening and engaging discussions. I then brainstorm various AI-driven solutions, leveraging my technical knowledge and past experiences to recommend the most effective approach, ensuring it aligns with their organizational goals.

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Can you explain your experience with Large Language Models?

Certainly! I have hands-on experience with Large Language Models, particularly in API integration and fine-tuning these models for specific applications. I focus on prompt engineering and utilizing retrieval-augmented generation techniques to ensure the model accurately meets our clients' needs while tracking performance metrics to gauge effectiveness.

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What tools and technologies do you use for AI Solutions Engineering?

In my role, I utilize various tools and technologies such as Python for development, ML frameworks for model integration, and project management software like Linear to keep track of simultaneous projects. Additionally, I leverage cloud platforms to facilitate the deployment and scaling of AI solutions across different customer environments.

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Describe your experience with customer-facing roles and how it relates to this position.

I have extensive experience in customer-facing roles where I collaborated closely with clients to translate their needs into actionable solutions. This involved conducting needs assessments, delivering presentations, and providing ongoing support, which I believe is integral to succeeding as an AI Solutions Engineer at V7.

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How do you stay updated on advancements in the AI field?

I actively participate in AI-related conferences, online courses, and workshops. I also follow prominent AI researchers and organizations through journals and social media to stay informed about the latest trends, tools, and methodologies relevant to my role as an AI Solutions Engineer.

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What challenges do you foresee in the role of an AI Solutions Engineer?

One challenge could be managing the diversity of customer expectations and technical requirements while juggling multiple projects. To mitigate this, I believe establishing clear communication channels and employing structured project management approaches is crucial for ensuring alignment and timely delivery.

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How would you explain complex AI concepts to non-technical stakeholders?

I focus on simplifying complex AI concepts by using relatable analogies and visual aids. My goal is to bridge the understanding gap by breaking down technical jargon into understandable terms, which makes it easier for non-technical stakeholders to grasp the value and reasoning behind AI-driven solutions.

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What is your experience with deploying AI solutions in a business context?

I have successfully deployed AI solutions within business contexts by collaborating with cross-functional teams, ensuring alignment with business goals, and showcasing the positive outcomes through demonstration and performance analytics. This experience has reinforced the importance of clear communication and effective project management.

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What strategies do you use to manage your time effectively across multiple projects?

To manage my time effectively across multiple projects, I prioritize tasks based on their urgency and importance, utilizing tools like Linear for tracking progress. I also set clear deadlines, allocate specific time blocks for focused work, and regularly review my priorities to ensure I stay on target.

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Why do you want to work as an AI Solutions Engineer at V7?

I am passionate about leveraging AI to solve real-world problems, and V7's mission resonates with my values. The opportunity to work with a forward-thinking team on innovative AI solutions, while also contributing to Fortune 500 companies' efficiencies aligns perfectly with my aspirations in this field.

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We exist to help turn valuable human knowledge into human-level artificial intelligence, targeting companies that tackle the world’s hardest problems from cancer detection to understanding our planet from space.

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Full-time, remote
DATE POSTED
April 2, 2025

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