At a Glance
- Tasks: Build AI systems that transform operations and automate processes.
- Company: Publicly listed London tech firm focused on AI innovation.
- Benefits: Competitive salary, ownership of tech stack, and access to cutting-edge tools.
- Other info: Join a dynamic team with opportunities for rapid career growth.
- Why this job: Make a direct impact on strategy while working at startup speed.
- Qualifications: Strong Python skills and experience with AI coding tools.
The predicted salary is between 65000 - 95000 £ per year.
You will join a lean, high-impact strategy team to build the internal AI systems that will transform how this publicly listed technology group operates. From automating service desks to building M&A integration tools, you will ship production-ready Python applications that turn organizational data into a structured, actionable knowledge layer.
Why this role is remarkable:
- Ship at startup speed with the capital and stable platform of a publicly listed technology business.
- Full ownership of the tech stack including unlimited access to frontier models and modern AI coding tools like Claude Code and Cursor.
- Direct impact on the company's core strategy by building an 'organizational second brain' using cutting-edge MCP and context engineering.
What You Will Do:
- Rapidly prototype and ship internal AI applications that remove friction across sales, service desks, and M&A integrations.
- Build a structured knowledge layer using MCP servers and direct APIs to pull data from Snowflake, Zoho, and Microsoft 365.
- Implement robust LLM observability, evaluations, and security guardrails to run AI agents within a regulated environment.
The ideal candidate:
- Strong software engineer proficient in production Python with hands-on experience shipping RAG and agentic systems.
- Deeply familiar with context engineering and the Model Context Protocol (MCP) to manage data at an organizational scale.
- A bias for action who already uses AI coding tools (Cursor, Codex) to accelerate their own development workflow.
Forward-Deployed Engineer (£65,000 - £95,000) at Publicly Listed London Tech Group employer: Jack & Jill
Join a dynamic and innovative publicly listed technology group in London, where you'll have the opportunity to work at startup speed while benefiting from the stability of a well-established firm. Our culture fosters creativity and collaboration, providing you with full ownership of your projects and access to cutting-edge AI tools that empower your professional growth. With a focus on transforming operations through AI, this role offers a unique chance to make a direct impact on our core strategy and drive meaningful change within the organisation.
StudySmarter Expert Advice🤫
We think this is how you could land Forward-Deployed Engineer (£65,000 - £95,000) at Publicly Listed London Tech Group
✨Tip Number 1
Network like a pro! Reach out to people in the tech industry, especially those working with AI and Python. Attend meetups or webinars, and don’t be shy about sliding into DMs on LinkedIn. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects, especially those related to AI applications. This is your chance to demonstrate your hands-on experience with RAG and agentic systems. Make it easy for potential employers to see what you can do!
✨Tip Number 3
Prepare for interviews by brushing up on context engineering and the Model Context Protocol (MCP). Be ready to discuss how you’ve used AI coding tools like Cursor in your workflow. We want to hear about your bias for action and how you tackle challenges head-on!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative. Don’t forget to tailor your application to highlight your relevant experience in building internal AI systems!
We think you need these skills to ace Forward-Deployed Engineer (£65,000 - £95,000) at Publicly Listed London Tech Group
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 Python proficiency and any relevant projects you've worked on, especially those involving AI or data management.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're excited about this role and how you can contribute to our mission. Be specific about your experience with context engineering and any tools like Claude Code or Cursor that you've used.
Showcase Your Projects:If you've built any internal applications or worked on AI systems, make sure to mention them! We love seeing real examples of your work, so include links or descriptions of projects that demonstrate your skills.
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s the quickest way for us to see your application and get you into the process!
How to prepare for a job interview at Jack & Jill
✨Know Your Tech Stack
Make sure you’re well-versed in the tech stack mentioned in the job description. Brush up on your Python skills and be ready to discuss your experience with AI coding tools like Claude Code and Cursor. Being able to talk about specific projects where you've used these technologies will show you're the right fit.
✨Understand Context Engineering
Since context engineering and the Model Context Protocol (MCP) are key to this role, take some time to understand these concepts deeply. Be prepared to explain how you've applied them in past projects or how you would approach them in this new role. This will demonstrate your expertise and readiness to contribute.
✨Show Your Bias for Action
This role requires a proactive mindset, so come prepared with examples of how you've taken initiative in previous positions. Whether it’s shipping a project ahead of schedule or implementing a new process, showcasing your bias for action will resonate well with the interviewers.
✨Prepare Questions About Impact
Think about the direct impact you can have on the company's core strategy. Prepare insightful questions about how your role as a Forward-Deployed Engineer can influence the organisation's operations. This shows that you’re not just interested in the job, but also in how you can contribute to the bigger picture.
