At a Glance
- Tasks: Design and implement no-code AI workflows for enterprise clients in finance and legal sectors.
- Company: Join V7, a fast-growing AI platform backed by industry pioneers.
- Benefits: Competitive salary, commission structure, equity, and the chance to shape AI solutions.
- Other info: Be the second Solutions Engineer in NYC, working on exciting AI technology.
- Why this job: Make a huge impact in a high-growth startup with quadrupled revenue last year.
- Qualifications: Experience in LLM projects, Python proficiency, and strong communication skills.
The predicted salary is between 160000 - 200000 £ per year.
Join V7 as the second Solutions Engineer in NYC to accelerate the growth of V7 Go, a no-code AI agent toolkit. You will bridge sales and product, designing sophisticated LLM workflows for enterprise clients in finance and legal sectors. This role is pivotal in scaling a product that 4x‑ed revenue last year.
Why this role is remarkable:
- Work with a high-growth startup backed by AI pioneers, including the minds behind Transformers and Gemini, at a company where revenue recently quadrupled.
- Huge technical impact as the second SE in New York, directly shaping how global enterprises deploy agentic AI for complex, multi-modal data processing.
- Total compensation includes a competitive base, a $30k commission structure, and equity in a fast-scaling platform processing tens of millions of documents.
Responsibilities:
- Lead technical discovery and POCs alongside Account Executives to design and implement custom no-code AI agent workflows for enterprise customers.
- Build robust Python-based data pipelines and prompt engineering solutions that integrate various LLMs like GPT, Claude, and Gemini into client environments.
- Serve as the primary technical point of contact for up to 10 concurrent projects, translating customer feedback into product requirements for the engineering team.
Qualifications:
- Experienced in delivering LLM-based projects, including API integration, prompt engineering, and measuring AI accuracy for enterprise-grade solutions.
- Strong technical background with Python proficiency and the ability to design complex cloud architectures and data pipelines for diverse stakeholders.
- Excellent communicator who can articulate a vision for AI solutions to both technical leads and business executives while managing multiple high-stakes accounts.
Required Skills:
- Python
- Cloud architectures
- Data pipelines
Required Languages:
- English
AI Solutions Engineer ($160K – $200K + Equity) at V7 employer: Jack & Jill
V7 is an exceptional employer, offering a dynamic work environment in the heart of New York City where innovation thrives. As a high-growth startup backed by AI pioneers, employees benefit from a culture that fosters creativity and collaboration, alongside competitive compensation packages that include equity and performance-based commissions. With ample opportunities for professional development and the chance to make a significant impact on cutting-edge AI solutions, V7 is the ideal place for those seeking meaningful and rewarding careers in technology.
StudySmarter Expert Advice🤫
We think this is how you could land AI Solutions Engineer ($160K – $200K + Equity) at V7
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and tech space, especially those who work at V7 or similar companies. Use LinkedIn to connect and engage with them; you never know who might help you land that interview!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your LLM projects, Python scripts, and any cool data pipelines you've built. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for the technical interview! Brush up on your Python and cloud architecture knowledge. Be ready to discuss how you've tackled challenges in previous projects, especially those involving AI solutions and client interactions.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining the V7 team and contributing to their exciting growth journey.
We think you need these skills to ace AI Solutions Engineer ($160K – $200K + Equity) at V7
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the AI Solutions Engineer role. Highlight your experience with LLM projects and Python, as well as any relevant achievements that align with V7's mission.
Showcase Your Technical Skills:Don’t just list your skills; demonstrate them! Include specific examples of how you've built data pipelines or integrated APIs in past projects. This will help us see your hands-on experience and technical prowess.
Communicate Clearly:Since this role involves bridging sales and product, it’s crucial to show off your communication skills. Use clear, concise language in your application to convey complex ideas simply, making it easy for us to understand your vision.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity at V7!
How to prepare for a job interview at Jack & Jill
✨Know Your AI Inside Out
Make sure you brush up on your knowledge of LLMs and their applications, especially in finance and legal sectors. Be ready to discuss specific projects you've worked on that involved API integration and prompt engineering.
✨Showcase Your Python Skills
Prepare to demonstrate your Python proficiency. You might be asked to solve a problem or explain how you've built data pipelines in the past. Have examples ready that highlight your technical background and cloud architecture design.
✨Communicate Clearly and Confidently
As an AI Solutions Engineer, you'll need to articulate complex ideas to both technical and non-technical stakeholders. Practice explaining your past projects in simple terms, focusing on how they delivered value to clients.
✨Understand V7's Vision
Research V7 and its recent growth. Familiarise yourself with their no-code AI agent toolkit and think about how you can contribute to scaling their product. Showing genuine interest in the company will set you apart from other candidates.
