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- Tasks: Lead the AI roadmap and implement innovative AI solutions for a cutting-edge platform.
- Company: Rapidly scaling tech firm in private capital markets with an entrepreneurial culture.
- Benefits: 25 days holiday, equity options, bonuses, and health insurance.
- Why this job: Join a dynamic team and shape the future of AI in finance.
- Qualifications: 5+ years in engineering, with 2+ years in applied AI/ML.
- Other info: Exciting opportunity for career growth in a collaborative environment.
The predicted salary is between 36000 - 60000 £ per year.
Our client is a rapidly scaling technology firm within the private capital markets space. They provide a cutting‑edge accounting platform that serves a global base of fund administrators, private equity firms, and asset managers. Their solution automates complex financial calculations, dramatically enhancing operational efficiency for clients managing trillions in combined assets. The company is backed by leading institutional investors and maintains an entrepreneurial culture that rewards ownership and speed.
Opportunity
We are seeking a hands‑on AI Engineer to spearhead the AI roadmap for their core platform, which is built on .NET architecture and migrating to web‑native/cloud environments. This is an end‑to‑end role focusing on the design and implementation of applied AI capabilities, from building secure knowledge‑based chat (RAG solutions) over internal documentation and codebases, to developing complex agentic workflows that integrate deeply within their product suite.
Key Responsibilities
- Define and execute the AI product roadmap, aligning AI initiatives with core business objectives.
- Implement documentation ingestion pipelines for structured knowledge bases.
- Build secure, enterprise‑grade Retrieval-Augmented Generation (RAG) systems.
- Collaborate with engineering teams to embed AI features into existing and new products.
- Design and deploy agentic workflows to automate multi‑step tasks across microservices.
- Ensure robust security, data privacy, and tenancy controls are implemented across all AI systems.
- Establish production standards for performance, reliability, and observability of AI services.
About You – Ideal experience
- 5+ years in engineering, with 2+ years focused specifically on applied AI/ML or LLM systems.
- Strong background in the Microsoft technology stack (.NET, APIs, services, background processing).
- Hands‑on experience with commercial LLM platforms (e.g., Azure OpenAI, AWS Bedrock, GCP Vertex AI). They use AI Foundry.
- Familiarity with agent frameworks and orchestration patterns.
- Experience with cloud‑native architectures (Azure preferred).
- Solid grasp of enterprise security and data governance principles for AI.
Benefits
- 25 days holiday + Birthday/Work anniversary
- Equity options
- Bonus
- Medical, Dental and Vision Insurance
- Enhanced pension with tax relief
- £50 towards any gym membership
- Rewards and discounts
Seniority level: Mid‑Senior level
Employment type: Full‑time
Job function: Information Technology
London, England, United Kingdom
AI Engineer in England employer: Roc Search
Contact Detail:
Roc Search Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer in England
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow tech enthusiasts. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those involving .NET and cloud-native architectures. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common AI engineering questions and scenarios. Practice explaining your thought process and how you've tackled challenges in past projects—this will help you stand out!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace AI Engineer in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the AI Engineer role. Highlight your experience with applied AI/ML and the Microsoft technology stack, as these are key for us. Use specific examples that showcase your skills in building secure systems and working with cloud-native architectures.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for AI and how you can contribute to our cutting-edge platform. Mention any relevant projects or achievements that align with our goals, especially around automation and security.
Showcase Your Technical Skills: Don’t forget to highlight your hands-on experience with commercial LLM platforms like Azure OpenAI or AWS Bedrock. We want to see your technical prowess, so include any relevant certifications or projects that demonstrate your expertise in AI and cloud technologies.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any updates. Plus, it’s super easy to do!
How to prepare for a job interview at Roc Search
✨Know Your AI Stuff
Make sure you brush up on your knowledge of applied AI and ML systems. Be ready to discuss your hands-on experience with commercial LLM platforms like Azure OpenAI or AWS Bedrock. They’ll want to see that you can not only talk the talk but also walk the walk when it comes to implementing AI solutions.
✨Showcase Your .NET Skills
Since the company is built on a .NET architecture, it’s crucial to highlight your experience with the Microsoft technology stack. Prepare examples of how you've used .NET in past projects, especially in relation to AI features or cloud-native architectures.
✨Understand Their Business
Familiarise yourself with the private capital markets space and how AI can enhance operational efficiency for clients managing large assets. This will help you align your answers with their core business objectives during the interview, showing that you’re not just technically savvy but also business-minded.
✨Prepare for Collaboration Questions
Expect questions about teamwork and collaboration, especially since you'll be working closely with engineering teams. Think of specific instances where you’ve successfully collaborated on projects, particularly those involving AI features or complex workflows, and be ready to share those stories.