At a Glance
- Tasks: Design and build bespoke AI solutions while collaborating with product and engineering teams.
- Company: Join a hypergrowth SaaS scaleup that values innovation and collaboration.
- Benefits: Earn £125,000+ per annum with hybrid work options and exciting projects.
- Other info: Dynamic environment with opportunities for rapid career growth and direct customer engagement.
- Why this job: Make a real impact by turning customer challenges into cutting-edge software solutions.
- Qualifications: Experience in software development, particularly with AI tools and full stack technologies.
There are 2 versions of this ad. Below is the anodyne version. Bonus points if you can find the more analeptic version. And provide proof of your quest. Good luck!
- The Forward Deployed AI Engineer will work for a hypergrowth SaaS scaleup.
- The Forward Deployed AI Engineer will earn £125,000+ per annum.
- The Forward Deployed AI Engineer will work hybrid, sometimes at our office, sometimes at customer sites.
- The Forward Deployed AI Engineer will be embedded with Product and Engineering teams.
- The Forward Deployed AI Engineer will prototype in hours, deploy in days and treat AI Agents as genuine force multipliers.
- The Forward Deployed AI Engineer will work with customers to understand their workflows, then design and build bespoke solutions.
- The Forward Deployed AI Engineer will use AI-assisted development tools e.g. Claude Code et al.
- The Forward Deployed AI Engineer will own the full stack: React/Angular, Python, AWS/Terraform.
- The Forward Deployed AI Engineer will translate messy, ambiguous customer problems into working software.
- The Forward Deployed AI Engineer will build reusable components that make the next deployment faster than the last.
- The Forward Deployed AI Engineer will be comfortable presenting, debugging live and making architectural decisions on the fly.
- The Forward Deployed AI Engineer will feed back learnings into the core product roadmap, informing what gets built next.
- The Forward Deployed AI Engineer will be fluent with AI coding tools, LLMs, RAG, agentic tool calling and orchestration.
- The Forward Deployed AI Engineer will be up to speed with the latest AI developments e.g. agentic loops/graphs.
- The Forward Deployed AI Engineer will favour shipping over polishing. Good is often good enough these days.
- The Forward Deployed AI Engineer will have prior startup/scaleup exposure.
- The Forward Deployed AI Engineer will have prior forward deployed, solutions engineering or technical professional services experience.
- The Forward Deployed AI Engineer will have a track record of turning one-off customer builds into production features.
- The Forward Deployed AI Engineer will enjoy direct exposure to how our customers use (and break) our product.
- The Forward Deployed AI Engineer will work with teams that consider AI to be core infrastructure, rather than novelty.
Why this Forward Deployed AI Engineer position is like Silver. employer: Mongoose Gray
Mongoose Gray is an exceptional employer that fosters a dynamic and collaborative work culture, perfect for those looking to thrive in a high-growth SaaS environment. With a competitive salary of £80,000 plus equity, employees benefit from a comprehensive package that supports both personal and professional development, ensuring ample opportunities for career advancement. The hybrid working model allows for flexibility, making it an attractive choice for individuals seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Why this Forward Deployed AI Engineer position is like Silver.
✨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 Mongoose Gray 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 Mongoose Gray.
✨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 Mongoose Gray.
✨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 Mongoose Gray 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 Why this Forward Deployed AI Engineer position is like Silver.
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 Mongoose Gray.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Mongoose Gray 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 Mongoose Gray
✨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 Mongoose Gray 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.
