At a Glance
- Tasks: Build cutting-edge AI systems and tackle real-world data challenges.
- Company: Dynamic Private Equity firm investing heavily in AI innovation.
- Benefits: Competitive salary, flexible work options, and growth opportunities.
- Other info: Collaborative environment with a focus on impactful projects.
- Why this job: Join a pioneering team and shape the future of AI technology.
- Qualifications: Experience in AI systems, RAG implementation, and vector databases.
The predicted salary is between 80000 - 98000 £ per year.
I’m partnered with a scaling Private Equity firm making a serious investment into AI and hiring an entirely new AI team building the capability from the ground up. You will work directly with an exceptionally intelligent and forward thinking leader who understands AI deeply and wants it built properly. This is about production systems, not slideware or surface level experimentation.
You will operate across the full modern AI stack, including:
- Designing and scaling RAG pipelines over messy, real world unstructured data
- Working with embeddings and vector databases such as Pinecone, Weaviate and Qdrant, alongside graph databases
- Building agentic and multi agent workflows with structured state management and tool routing
- Integrating OpenAI, Anthropic and open source models such as Llama and Mistral into secure production systems
- Owning evaluation frameworks, regression testing and systematically reducing hallucinations and failure modes
- Building typed, well tested backend services in Python with FastAPI and strong observability
You will be encouraged to leverage modern AI coding tools such as Cursor, Windsurf and Copilot, but with strong engineering judgement. The expectation is production grade systems with governance, security and performance in mind.
What They’re Looking For
- Hands on experience building and shipping AI or LLM based systems
- Practical RAG implementation experience
- Comfort working with vector databases and APIs
- A sceptical, engineering led mindset when working with LLMs
- Someone comfortable with ambiguity and excited by building from zero
AI Engineer in London employer: Kennedy Pearce Consulting
Join a dynamic Private Equity firm that is at the forefront of AI innovation, where you will have the unique opportunity to build an AI team from the ground up. With a strong emphasis on production systems and real-world applications, you will work in a collaborative environment that fosters creativity and encourages professional growth. The firm values intelligent problem-solving and offers access to cutting-edge tools, making it an ideal place for those looking to make a significant impact in the AI landscape.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer in London
✨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 Kennedy Pearce Consulting 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 Kennedy Pearce Consulting.
✨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 Kennedy Pearce Consulting.
✨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 Kennedy Pearce Consulting 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 AI Engineer in London
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 Kennedy Pearce Consulting.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Kennedy Pearce Consulting 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 Kennedy Pearce Consulting
✨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 Kennedy Pearce Consulting 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.
